From 893486ab622ec4817289980db7895302121f916e Mon Sep 17 00:00:00 2001 From: Maziar Ghorbani Date: Mon, 27 Mar 2023 10:27:37 +0100 Subject: [PATCH 1/3] Typo corrected --- README.md | 9 +- tutorials/basic_tutorial.ipynb | 34 +++-- tutorials/basic_tutorial_qcgpj.ipynb | 117 ++++++++++-------- tutorials/dimension_adaptive_tutorial.ipynb | 91 ++++++++------ .../dimension_adaptive_tutorial_fusion.ipynb | 105 ++++++++-------- tutorials/easyvvuq_Ishigami_SC_tutorial.ipynb | 9 +- tutorials/easyvvuq_Ishigami_tutorial.ipynb | 19 +-- ...asyvvuq_Ishigami_with_noise_tutorial.ipynb | 17 +-- tutorials/easyvvuq_in_r.ipynb | 66 ++++++++-- tutorials/easyvvuq_mcmc.ipynb | 10 +- tutorials/encoder_decoder_tutorial.ipynb | 28 +++-- ...arameter_tuning_tutorial_with_fabsim.ipynb | 43 ++++--- 12 files changed, 322 insertions(+), 226 deletions(-) diff --git a/README.md b/README.md index 7aa27c0b8..ca09b7563 100644 --- a/README.md +++ b/README.md @@ -6,9 +6,7 @@ [![Documentation Status](https://readthedocs.org/projects/easyvvuq/badge/?version=latest)](https://easyvvuq.readthedocs.io/) [![Coverage Status](https://coveralls.io/repos/github/UCL-CCS/EasyVVUQ/badge.svg?branch=dev&service=github)](https://coveralls.io/github/UCL-CCS/EasyVVUQ?branch=dev) [![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/3796/badge)](https://bestpractices.coreinfrastructure.org/projects/3796) -[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/dev?filepath=tutorials) - -The aim of EasyVVUQ is to facilitate verification, validation and +[![Binder]EasyVVUQ aims to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations. While very convenient for simple cases, EasyVVUQ is particularly well suited in situations where the simulations are computationally expensive, heterogeneous computing resources are necessary, the sampling space is very large or book-keeping is prohibitively @@ -21,11 +19,10 @@ Here are some examples of questions EasyVVUQ can answer about your code: It also lets you construct surrogate models that are cheaper to evaluate than the complete simulation. -The high-level overview of the library is avalable at our [readthedocs](https://easyvvuq.readthedocs.io/en/dev/). +The high-level overview of the library is available at our [readthedocs](https://easyvvuq.readthedocs.io/en/dev/). ## Getting Started - -For the quick start with EasyVVUQ we reccommend to check our basic interactive tutorial available [here](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/a6852d6c5ba36f15579e601d7a8d074505f31084?filepath=tutorials%2Fbasic_tutorial.ipynb). +For a quick start with EasyVVUQ we recommend checking our basic interactive tutorial available [here](https://mybinder.org/v2/gh/UCL-CCS/EasyVVUQ/a6852d6c5ba36f15579e601d7a8d074505f31084?filepath=tutorials%2Fbasic_tutorial.ipynb). ## Functionality diff --git a/tutorials/basic_tutorial.ipynb b/tutorials/basic_tutorial.ipynb index 8c936b679..3057220c2 100644 --- a/tutorials/basic_tutorial.ipynb +++ b/tutorials/basic_tutorial.ipynb @@ -25,11 +25,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "9c1caa59", "metadata": {}, "source": [ - "This tutorial shows a simple EasyVVUQ workflow in action. The example used here is a simulation of a vertical deflection of a tube. The model is that of a round metal tube suspended on each end and force being applied at a certain point along it's length. The model measures how large is the deflection at the point force is applied. Full description of it can be found [here](https://openturns.github.io/openturns/latest/usecases/use_case_deflection_tube.html). This model was chosen since it is intuitively easy to understand even without any background in the relative field. It is also easy to interpret the results. We will use EasyVVUQ to determine the influence each of the input parameters has on the vertical deflection at point ```a```." + "This tutorial shows a simple EasyVVUQ workflow in action. The example used here is a simulation of a vertical deflection of a tube. The model is that of a round metal tube suspended on each end and force being applied at a certain point along its length. The model measures how large is the deflection at the point force is applied. A full description of it can be found [here](https://openturns.github.io/openturns/latest/usecases/use_case_deflection_tube.html). This model was chosen since it is intuitively easy to understand even without any background in the relative field. It is also easy to interpret the results. We will use EasyVVUQ to determine the influence each of the input parameters has on the vertical deflection at point ```a```." ] }, { @@ -112,11 +113,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "c60ded17", "metadata": {}, "source": [ - "In this tutorial we will see how to use EasyVVUQ to do variance based sensitivity analysis using Polynomial Chaos Expansion (PCE). It is one of several methods that EasyVVUQ supports for this purpose (others being Monte Carlo and Stochastic Collocation methods). While PCE supports more complicated scenarios we only explore the basic functionality. Of course the users are not limited to the methods provided by default in EasyVVUQ and can easily implement their own sampling and analysis classes." + "In this tutorial, we will see how to use EasyVVUQ to do variance-based sensitivity analysis using Polynomial Chaos Expansion (PCE). It is one of several methods that EasyVVUQ supports for this purpose (others being Monte Carlo and Stochastic Collocation methods). While PCE supports more complicated scenarios we only explore the basic functionality. Of course, the users are not limited to the methods provided by default in EasyVVUQ and can easily implement their own sampling and analysis classes." ] }, { @@ -128,11 +130,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "24a4af40", "metadata": {}, "source": [ - "We need to import EasyVVUQ as well as ChaosPy (we use it's distributions) and matplotlib for plotting later on." + "We need to import EasyVVUQ as well as ChaosPy (we use its distributions) and matplotlib for plotting later on." ] }, { @@ -155,11 +158,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "ee53f14d", "metadata": {}, "source": [ - "We will describe the parameters. This is done for validation purposes (so that input parameters outside valid ranges given an error. Also this is where you can specify default values for input parameters that you don't want to vary in the analysis. Only the type and the default value fields are mandatory." + "We will describe the parameters. This is done for validation purposes (so that input parameters outside valid ranges are given an error. Also, this is where you can specify default values for input parameters that you don't want to vary in the analysis. Only the type and the default value fields are mandatory." ] }, { @@ -186,13 +190,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "27d3ec2f", "metadata": {}, "source": [ - "Next step is to specify how the input files for the simulation are to be created and how EasyVVUQ is to parse the output of the simulation. This is the job of the Encoder and Decoder classes. Our simulation takes a very simple JSON file as input. So we can just use the GenericEncoder which is a template based encoder. It will replace all keys in the template file with respective values. In this case they are identified by the ```$``` that precedes them. Alternatively, there are more complex encoders based on, for example, the [Jinja2](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.jinja_encoder) templating language. Encoders can also do more complicated things, such as prepare a [directory structure](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.directory_builder) if your simulation requires such. If it requires several input files you can use a [multiencoder](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.multiencoder) to combine several encoders, each of which responsible for a single input file. They can also be used to [copy](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.copy_encoder) files over to the run directory.\n", + "The next step is to specify how the input files for the simulation are to be created and how EasyVVUQ is to parse the output of the simulation. This is the job of the Encoder and Decoder classes. Our simulation takes a very simple JSON file as input. So we can just use the GenericEncoder which is a template-based encoder. It will replace all keys in the template file with their respective values. In this case, they are identified by the ```$``` that precedes them. Alternatively, there are more complex encoders based on, for example, the [Jinja2](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.jinja_encoder) templating language. Encoders can also do more complicated things, such as preparing a [directory](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.directory_builder) structure](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.directory_builder) if your simulation requires such. If it requires several input files you can use a [multiencoder](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.multiencoder) to combine several encoders, each of which is responsible for a single input file. They can also be used to [copy](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.encoders.html#module-easyvvuq.encoders.copy_encoder) files over to the run directory.\n", "\n", - "Decoder is responsible for parsing the otuput of the simulation. We use the [JSONDecoder](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.decoders.html#module-easyvvuq.decoders.json) to extract the needed value. There also exist ready made decoders for [YAML](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.decoders.html#module-easyvvuq.decoders.yaml) and [CSV](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.decoders.html#module-easyvvuq.decoders.simple_csv). You can also easily write your own by inheriting from the BaseDecoder class." + "Decoder is responsible for parsing the output of the simulation. We use the [JSONDecoder](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.decoders.html#module-easyvvuq.decoders.json) to extract the needed value. There also exist ready-made decoders for [YAML](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.decoders.html#module-easyvvuq.decoders.yaml) and [CSV](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.decoders.html#module-easyvvuq.decoders.simple_csv). You can also easily write your own by inheriting from the BaseDecoder class." ] }, { @@ -216,11 +221,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "d5dc3398", "metadata": {}, "source": [ - "Campaign is the central hub in which operations take place. It is responsible for running your simulations, gathering the results, storing them in the Database, retrieving them for analysis, etc. The Campaign in EasyVVUQ is very powerful and supports multiple applications, sampling, analysis and execution methods. It also lets you save progress and retrieve results later for analysis. Here we only look at a simple case." + "The campaign is the central hub in which operations take place. It is responsible for running your simulations, gathering the results, storing them in the Database, retrieving them for analysis, etc. The Campaign in EasyVVUQ is very powerful and supports multiple applications, sampling, analysis and execution methods. It also lets you save progress and retrieve results later for analysis. Here we only look at a simple case." ] }, { @@ -239,11 +245,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "531e7aec", "metadata": {}, "source": [ - "First we need to define the input parameter distributions. We have chosen 4 of the 6 available inputs. This is partly because this means that we won't have to sample at too many points and partly because I've found that these influence the output variable the most." + "First, we need to define the input parameter distributions. We have chosen 4 of the 6 available inputs. This is partly because this means that we won't have to sample at too many points and partly because I've found that these influence the output variable the most." ] }, { @@ -290,11 +297,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "d12571d5", "metadata": {}, "source": [ - "For this tutorial we have chosen to run the simulation on the local machine. This will done in parallel with up to 8 tasks running concurrently. Alternatives are execution in the Cloud (via the [ExecuteKubernetes](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.actions.html#module-easyvvuq.actions.execute_kubernetes) action) or on HPC machines." + "For this tutorial, we have chosen to run the simulation on the local machine. This will be done in parallel with up to 8 tasks running concurrently. Alternatives are execution in the Cloud (via the [ExecuteKubernetes](https://easyvvuq.readthedocs.io/en/dev/easyvvuq.actions.html#module-easyvvuq.actions.execute_kubernetes) action) or on HPC machines." ] }, { @@ -664,11 +672,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "7f0a8d7b", "metadata": {}, "source": [ - "We can plot the results in a treemap format. Each square representing the relative influence of that parameter to the variance of the output variable (vertical displacement at point ```a```). A square labeled ```higher orders``` represent the influence of the interactions between the input parameters." + "We can plot the results in a treemap format. Each square represents the relative influence of that parameter on the variance of the output variable (vertical displacement at point ```a```). A square labeled `higher orders` represents the influence of the interactions between the input parameters." ] }, { @@ -692,7 +701,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -709,11 +718,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "b675c192", "metadata": {}, "source": [ - "Alternatively you can get the Sobol index values using the method call below." + "Alternatively, you can get the Sobol index values using the method call below." ] }, { diff --git a/tutorials/basic_tutorial_qcgpj.ipynb b/tutorials/basic_tutorial_qcgpj.ipynb index f1e46ed6c..43d6b7d3a 100644 --- a/tutorials/basic_tutorial_qcgpj.ipynb +++ b/tutorials/basic_tutorial_qcgpj.ipynb @@ -22,20 +22,18 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "As defined in the [VECMA glossary](https://wiki.vecma.eu/glossary), uncertainty quantification UQ is a “discipline, which seeks to estimate the \n", "uncertainty in the model input and output parameters, to analyse the sources of these uncertainties, \n", "and to reduce their quantities.” However, this process can quickly become cumbersome because just \n", - "a few uncertain inputs could require hundreds or even thousands of samples. If a single sample is a demanding simulation, \n", - "such a number of tasks cannot be performed effectively without (1) adequate \n", + "a few uncertain inputs could require hundreds or even thousands of samples. If a single sample is a demanding simulation, such as the number of tasks that cannot be performed effectively without (1) adequate \n", "computational resources, (2) a dedicated approach and (3) specialised programming solutions. \n", "\n", "EasyVVUQ has been designed as a modular software that can benefit from the solutions providing\n", - "advanced capabilities for execution of demanding operations on computational resources. \n", - "One of such solutions is [QCG-PilotJob](https://qcg-pilotjob.readthedocs.io), which allows to efficiently run a number of tasks inside \n", - "a single large allocation on a Slurm cluster.\n", + "advanced capabilities for the execution of demanding operations on computational resources. One such solution is [QCG-PilotJob](https://qcg-pilotjob.readthedocs.io)](https://qcg-pilotjob.readthedocs.io), which allows to efficiently run a number of tasks inside a single large allocation on a Slurm cluster.\n", "\n", "In this tutorial, based on the scenario presented in the basic tutorial, we demonstrate how EasyVVUQ workflows \n", "can be adapted to enable their executions with QCG-PilotJob on HPC machines. \n", @@ -212,16 +210,18 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Application scenario\n", - "Let's remind the basic use-case. It is a simulation of a vertical deflection of a round metal \n", + "Let's remind the basic use case. It is a simulation of a vertical deflection of a round metal \n", "tube suspended on each end in response to a force applied at certain point ```a``` along its length. \n", "Our goal is to determine the influence of the input parameters on the vertical deflection at point ```a```." ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -233,16 +233,16 @@ "\n", "```{'g1': x, 'g2': y, 'g3': y}```\n", "\n", - "In order to produce statistically significant results, EasyVVUQ needs to run a number of model evaluations\n", - " appropriately selecting input arguments from a given sample parameter space. \n", - " Once selected, input parameters need to be transformed into a format understandable by the application. \n", + "To produce statistically significant results, EasyVVUQ needs to run several model evaluations\n", + "appropriately selecting input arguments from a given sample parameter space. \n", + "Once selected, input parameters need to be transformed into a format understandable by the application. \n", "Our application takes a single file as an input and the transformation may be based on a single template file,\n", "called `beam.template`, with the following content:\n", "\n", "```{\"outfile\": \"$outfile\", \"F\": $F, \"L\": $L, \"a\": $a, \"D\": $D, \"d\": $d, \"E\": $E}```\n", "\n", - "The template will be used to generate files called `input.json` that will be the input to each run of beam.\n", - "All placeholders (signified by the $ delimeter) will be replaced by concrete values from the sample parameter space. " + "The template will be used to generate files called `input.json` that will be the input to each run of the beam.\n", + "All placeholders (signified by the $ delimiter) will be replaced by concrete values from the sample parameter space. " ] }, { @@ -297,14 +297,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "In this tutorial, in the similar fashion as in the basic one, \n", - "we will demonstrate how to use of EasyVVUQ to do variance based sensitivity analysis of `beam` application using stochastic collocation. \n", + "In this tutorial, in a similar fashion as in the basic one, \n", + "we will demonstrate how to use EasyVVUQ to do a variance-based sensitivity analysis of `beam` application using stochastic collocation. \n", "\n", - "Nevertheless, the way of usage of QCG-PilotJob in EasyVVUQ \n", - "is generic and will look the same also for other applications and other supported by EasyVVUQ methods." + "Nevertheless, the way the usage of QCG-PilotJob in EasyVVUQ is generic and will look the same also for other applications and other supported by EasyVVUQ methods." ] }, { @@ -315,10 +315,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "In order to use EasyVVUQ, we need to configure the EasyVVUQ Campaign object. We do this in almost the same way as in case of basic use-case. \n", + "To use EasyVVUQ, we need to configure the EasyVVUQ Campaign object. We do this in almost the same way as in the case of the basic use case. \n", "Firstly we import the same set of libraries as in the original example:" ] }, @@ -352,10 +353,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Then, we can continue the code from the basic workflow. For the validation purposes, we describe a set of parameters used by the application:" + "Then, we can continue the code from the basic workflow. For validation purposes, we describe a set of parameters used by the application:" ] }, { @@ -376,10 +378,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "and, by specification of encoder and decoder, define how EasyVVUQ should convert data between its internal and the application logic:" + "and, by the specification of encoder and decoder, define how EasyVVUQ should convert data between its internal and the application logic:" ] }, { @@ -393,12 +396,13 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Hence our application takes and produces very simple data structures, we use build-in Encoder and Decoder classes, but you are able to provide custom implementations of encoders and decoders that will fit your own use-case. \n", + "Hence our application takes and produces very simple data structures, we use built-in Encoder and Decoder classes, but you can provide custom implementations of encoders and decoders that will fit your use case. \n", "\n", - "The next step is a definition of an execute action that will be used to run the `beam` application with a prepared input file. " + "The next step is a definition of an executed action that will be used to run the `beam` application with a prepared input file. " ] }, { @@ -428,10 +432,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "and finally create EasyVVUQ Campaign:" + "and finally, create EasyVVUQ Campaign:" ] }, { @@ -444,10 +449,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "The remaining steps to configure the campaign object are to define distributions for the input parameters and initialise a sampler. This code is the same regardeless we use or not QCG-PilotJob:" + "The remaining steps to configure the campaign object are to define distributions for the input parameters and initialise a sampler. This code is the same regardless we use or not QCG-PilotJob:" ] }, { @@ -466,14 +472,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## QCGPJ-Pool\n", + "Now we can execute all evaluations. However, in contrast to the basic tutorial, where the code was prepared to be run on a local machine, our target here is to demonstrate how to use QCG-PilotJob to execute evaluations on an HPC cluster. \n", "\n", - "Now we are able to execute all evaluations. However, in contrast to the basic tutorial, where the code was prepared to be run on a local machine, our target here is to demonstrate how to use QCG-PilotJob to execute evaluations on an HPC cluster. \n", - "\n", - "To this end, we need to create a QCGPJPool object and provide it to the campaign's execute method. In the most simplistic configuration, we can initialise `QCGPjPool` within the `with` statement and don't provide any arguments to the constructor:" + "To this end, we need to create a QCGPJPool object and provide it to the campaign's execute method. In the most simplistic configuration, we can initialise `QCGPjPool` within the `with` the statement and don't provide any arguments to the constructor:" ] }, { @@ -487,26 +493,26 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Empty list of QCGPJPool constructor's parameter lead to the default settings of the pool and execution of all evaluations with a default task template. This may be sufficient for basic use-cases, but in order to support more advanced execution scenarios, \n", + "An empty list of QCGPJPool constructor's parameters leads to the default settings of the pool and execution of all evaluations with a default task template. This may be sufficient for basic use cases, but to support more advanced execution scenarios, \n", "several parameters may need to be provided to the constructor:\n", - "* `qcgpj-executor` - allows to setup specific parameters of the QCG-PilotJob service by creation of a custom QCGPJExecutor instance. For example, if we skip this parameter, QCG-PilotJob will automatically set up to execute on all available resources, which is perfectly fine if we run the code on HPC resources, since it will take care of proper and efficient scheduling of tasks to the resources available in the allocation. However, if we would like to make some tests on a local machine, it may be more optimal to define virtual resources, and this may be defined with the `resources` parameter to the `QCGPJExecutor` constructor.\n", - "* `template` and `template_params` - by default the tasks use a predefined template (`EasyVVUQBasicTemplate)` that leads to execution of QCG-PilotJob's tasks in a default mode, only on a single core. It could be altered by providing custom task `template` and `template_params`. \n", - "* `polling_interval` - allows to change the default interval between queries asking about the status of tasks to the QCG-PilotJob Manager service.\n", + "* `qcgpj-executor` - allows to set up of specific parameters of the QCG-PilotJob service by the creation of a custom QCGPJExecutor instance. For example, if we skip this parameter, QCG-PilotJob will automatically set up to execute on all available resources, which is perfectly fine if we run the code on HPC resources since it will take care of proper and efficient scheduling of tasks to the resources available in the allocation. However, if we would like to make some tests on a local machine, it may be more optimal to define virtual resources, and this may be defined with the `resources` parameter to the `QCGPJExecutor` constructor.\n", + "* `template` and `template_params` - by default the tasks use a predefined template (`EasyVVUQBasicTemplate)` that leads to the execution of QCG-PilotJob's tasks in a default mode, only on a single core. It could be altered by providing a custom task `template`` and `template_params`. \n", + "* `polling_interval` - allows changing the default interval between queries asking about the status of tasks to the QCG-PilotJob Manager service.\n", "\n", - "Let us show how to modify this example to demonstrate usage of these more advanced options. " + "Let us show how to modify this example to demonstrate the usage of these more advanced options. " ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Parallel Tasks\n", - "Firstly, we would change the `template` and `template_params` to enable execution of tasks on many resources. Thus, instead of a default template class, we will employ `EasyVVUQParallelTemplate` that allows us also to set `numCores` and `numNodes` parameters. \n", - "\n", - "In order to demonstrate it, we have to have a clean situation and therefore we need to initialise a new campaign:" + "Firstly, we would change the `template` and `template_params` to enable the execution of tasks on many resources. Thus, instead of a default template class, we will employ `EasyVVUQParallelTemplate` which allows us also to set `numCores` and `numNodes` parameters. To demonstrate it, we have to have a clean situation and therefore we need to initialise a new campaign:" ] }, { @@ -520,10 +526,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Now we are able to execute campaign actions once again. This time it looks as follows: " + "Now we can execute campaign actions once again. This time it looks as follows: " ] }, { @@ -541,15 +548,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We have set `numCores` to 4, which is one of parameters supported by `EasyVVUQParallelTemplate`. It results in assigning 4 cores for each task. Please note that this setting is not optimal for our example `beam` code, which is not parallel - in case of such codes single core tasks are perfectly fine. Nevertheless, possibility to define `numCores` and `numNodes` is essential for the proper execution of MPI or OpenMP applications. \n", - "\n", - "**Note:** In order to run parallel code inside a QCG-PilotJob task, a full command for the paralleled run should be given to the ExecuteLocal action \n", + "We have set `numCores` to 4, which is one of the parameters supported by `EasyVVUQParallelTemplate`. It results in assigning 4 cores for each task. Please note that this setting is not optimal for our example `beam` code, which is not parallel - in the case of such codes, single-core tasks are perfectly fine. Nevertheless, the possibility to define `numCores` and `numNodes` is essential for the proper execution of MPI or OpenMP applications. **Note:** To run parallel code inside a QCG-PilotJob task, a full command for the paralleled run should be given to the ExecuteLocal action \n", "(e.g. `mpirun -n 4 NAME_OF_PROGRAM`). \n", "\n", - "Now let's try to set some larger number of nodes:" + "Now let's try to set a larger number of nodes:" ] }, { @@ -579,19 +585,20 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "If you see that the exception saying that there is not enough resources has been caught, it is not a surprise. Well, we don't have 2 nodes to use and QCG-PilotJob reports that our task is too big. " + "If you see that the exception saying that there are not enough resources has been caught, it is not a surprise. Well, we don't have 2 nodes to use and QCG-PilotJob reports that our task is too big. " ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Local / virtualised mode of execution\n", - "\n", - "What in a case if we want to prepare and test the workflow on a local machine before it will be transferred to the HPC environment? QCG-PilotJob has a solution for this which is called *Local Mode* and allows to define virtual resources. Let's modify our example a bit: " + "What if we want to prepare and test the workflow on a local machine before it will be transferred to the HPC environment? QCG-PilotJob has a solution for this which is called *Local Mode* and allows the definition of virtual resources. Let's modify our example a bit: " ] }, { @@ -613,19 +620,21 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "As it can be seen, we added `qcpj_executor` parameter to the `QCGPJPool` constructor. The parameter is set to the customised `QCGPJExecutor` instance, which has been created\n", - "with parameter `resources` set to `node1:4,node2:4`. In this way we have defined two virtual nodes, each with 4 cores. In a result this example can been executed successfully. " + "with parameter `resources` set to `node1:4,node2:4`. In this way we have defined two virtual nodes, each with 4 cores. In a result, this example can been executed successfully. " ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Tasks templates\n", - "You can get more information about the parameteres available in the templates with the following way:" + "You can get more information about the parameters available in the templates with the following way:" ] }, { @@ -701,19 +710,21 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "* **Note 1:** If the functionality of built-in templates is not sufficient, you can always create a new one by extensions of existing.\n", - "* **Note 2:** The keys `name`, `stdout` and `stderr` are necessary for the code to work properly, so newly created templates must define these keys in an analogous way as they are defined in the existing templates. It is also not possible to set these keys to custom values, because they are substituted automatically by the internal software logic." + "* **Note 1:** If the functionality of built-in templates is not sufficient, you can always create a new one by extensions of existing ones.\n", + "* **Note 2:** The keys `name`, `stdout` and `stderr` are necessary for the code to work properly, so newly created templates must analogously define these keys as they are defined in the existing templates. It is also not possible to set these keys to custom values because they are substituted automatically by the internal software logic." ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Analysis\n", - "At this moment we should have our evaluations ready and their results collated and stored in the campaing's database. Since we have used `QCGPJPool` inside the `with` statement it has been already cleaned up and we don't need any other code specific for QCG-PilotJob's execution. Thus the remaining part of the tutorial can be no different from its basic version. In other words, starting from now, we have all data needed to perform analysis in a typical for EasyVVUQ way.\n", + "At this moment we should have our evaluations ready and their results collated and stored in the campaing's database. Since we have used `QCGPJPool` inside the `with` the statement it has been already cleaned up and we don't need any other code specific for QCG-PilotJob's execution. Thus the remaining part of the tutorial can be no different from its basic version. In other words, starting now, we have all data needed to perform analysis in a typical for EasyVVUQ way.\n", "\n", "At the beginning we can display the collattion results:" ] @@ -1048,10 +1059,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We can plot the results in a treemap format. Each square representing the relative influence of that parameter to the variance of the output variable (vertical displacement at point ```a```). A square labeled ```higher orders``` represent the influence of the interactions between the input parameters." + "We can plot the results in a treemap format. Each square represents the relative influence of that parameter on the variance of the output variable (vertical displacement at point ```a```). A square labeled `higher orders` represents the influence of the interactions between the input parameters." ] }, { @@ -1061,7 +1073,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1078,10 +1090,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Alternatively you can get the Sobol index values using the method call below." + "Alternatively, you can get the Sobol index values using the method call below." ] }, { @@ -1129,13 +1142,13 @@ "pycharm": { "stem_cell": { "cell_type": "raw", - "source": [], "metadata": { "collapsed": false - } + }, + "source": [] } } }, "nbformat": 4, "nbformat_minor": 5 -} \ No newline at end of file +} diff --git a/tutorials/dimension_adaptive_tutorial.ipynb b/tutorials/dimension_adaptive_tutorial.ipynb index ffbfbec89..af79ce620 100644 --- a/tutorials/dimension_adaptive_tutorial.ipynb +++ b/tutorials/dimension_adaptive_tutorial.ipynb @@ -1,12 +1,13 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Dimension adaptive sampling tutorial\n", "\n", - "Here, briefly describe the concept behind dimension-adaptive sparse grids, starting from a standard Stochastic Collocation (SC) campaign. Following this, a dimension adaptive EasyVVUQ script using a simple analytic test function is presented. We will assume you are familiar with the basics of EasyVVUQ.\n", + "Here, briefly describe the concept behind dimension-adaptive sparse grids, starting from a standard Stochastic Collocation (SC) campaign. Following this, a dimension-adaptive EasyVVUQ script using a simple analytic test function is presented. We will assume you are familiar with the basics of EasyVVUQ.\n", "\n", "## Standard SC\n", "\n", @@ -15,15 +16,13 @@ "```python\n", "sampler = uq.sampling.SCSampler(vary=vary, polynomial_order=2)\n", "```\n", - "Here the specified `polynomial_order`, and the number of inputs in `vary`, determine the\n", - "number of samples, which increases exponentially fast with an increasing amount of inputs. This\n", + "Here the specified `polynomial_order`, and the number of inputs in `vary`, determining the number of samples, which increases exponentially fast with an increasing amount of inputs. This\n", "is the so-called *curse of dimensionality*. \n", "\n", "Basically, by setting `polynomial_order=2` we create a sampling plan through a single tensor product of one-dimensional quadrature nodes with order 3 for every input. It is this tensor product construction that leads to the exponential rise in cost. So if we have 2 inputs `x1` and `x2`, and our one-dimensional quadrature rule of order 2 produces 5 points, we obtain a total of 25 points in the `(x1, x2)` domain. Likewise, if `vary` contains 3 inputs, we would need to evaluate the computational model 125 times, and 10 inputs would require `5**10 = 9765625` model evaluations. For this reason, a standard SC campaign is rarely used beyond 6 or 7 inputs.\n", "\n", "## Sparse SC\n", - "\n", - "Sparse grids on the other hand, do not create a single tensor product, but build the sampling plan from the ground up by using a *linear combination of tensor products involving 1D quadrature rules of* ***different*** *orders*. \n", + "Sparse grids, on the other hand, do not create a single tensor product but build the sampling plan from the ground up by using a *linear combination of tensor products involving 1D quadrature rules of* ***different*** *orders*. \n", "\n", "For two inputs, we might for instance consider using 1D quadrature rules of order [0, 0], [0, 1] and [1, 0], where:\n", "\n", @@ -31,9 +30,9 @@ " * [0, 1]: a line of 3 points with constant x1\n", " * [1, 0]: a line of 3 points with constant x2\n", "\n", - "In the case of sparse grids it is common to select a *nested* quadrature rule. This means that the quadrature\n", - "rule of order p contains all points of the same rule of order p-1. When taking the linear combinations, a nested rule ensures that many points will conincide, which yields efficient sampling \n", - "plans, especially in higher dimensions. If our nested 1D rule of order 1 and 2 generates the points [0.5] and [0, 0.5, 1] we obtain a sampling plan consisting of\n", + "In the case of sparse grids, it is common to select a *nested* quadrature rule. This means that the quadrature\n", + "rule of order p contains all points of the same rule of order p-1. When taking the linear combinations, a nested rule ensures that many points will coincide, which yields efficient sampling \n", + "plans, especially in higher dimensions. If our nested 1D rule of order 1 and 2 generate the points [0.5] and [0, 0.5, 1] we obtain a sampling plan consisting of\n", "\n", " * [0, 0]: [0.5, 0.5]\n", " * [0, 1]: [0.5, 0.0], [0.5, 0.5], [0.5, 1.0]\n", @@ -43,29 +42,29 @@ "\n", "## Dimension-adaptive SC\n", "\n", - "What we described above is an *isotropic* sparse grid, since the multi indices `[0, 0], [1, 0], [0,1]` result in a sampling plan where both inputs end up with the same number of samples. However, in practice model parameters are rarely equally important. The idea behind dimension-adaptive sampling is to build the sampling plan in an iterative fashion, find out which (combination of) parameters are important as we go, and then place more samples along those directions. This results in a anisotropic sampling plan, where the important inputs get relatively high number of samples. To find out which directions are important we need an appropriate error measure, and we need to split the quadrature order multi indices in an *accepted* and an *admissible* set. The accepted set is initialized to `[0, 0]` in 2D, i.e. we start with just a single code evaluation. Without going into detail, we can think of the admissible set as the candidate refinement directions, from which we must add a single entry to the accepted set at every iteration.\n", + "What we described above is an *isotropic* sparse grid, since the multi indices `[0, 0], [1, 0], [0,1]` result in a sampling plan where both inputs end up with the same number of samples. However, in practice model parameters are rarely equally important. The idea behind dimension-adaptive sampling is to build the sampling plan iteratively, find out which (combination of) parameters are important as we go, and then place more samples along those directions. This results in an anisotropic sampling plan, where the important inputs get a relatively high number of samples. To find out which directions are important we need an appropriate error measure, and we need to split the quadrature order multi indices in an *accepted* and an *admissible* set. The accepted set is initialized to `[0, 0]` in 2D, i.e. we start with just a single code evaluation. Without going into detail, we can think of the admissible set as the candidate refinement directions, from which we must add a single entry to the accepted set at every iteration.\n", "\n", - "In our 2D example, at the 1st iteration the candidate set consists of `[1, 0]` and `[0, 1]`. That is, we can either refine only `x1` or only `x2`. We must select the multi index which generates the highest error when added to the accepted set. There are a variety of error measures, the two main ones in EasyVVUQ are:\n", + "In our 2D example, at the 1st iteration, the candidate set consists of `[1, 0]` and `[0, 1]`. That is, we can either refine only `x1` or only `x2`. We must select the multi-index which generates the highest error when added to the accepted set. There are a variety of error measures, the two main ones in EasyVVUQ are:\n", "\n", "1. the hierarchical surplus error, and\n", "2. a variance-based error.\n", "\n", - "Roughly speaking, the surplus is an interpolation based error, which measures the difference between the code output and the corresponding SC polynomial surrogate, when evaluated at new sample locations. The variance-based error selects the direction in which the variance in the output changes the most. For more information we refer to the references below.\n", + "Roughly speaking, the surplus is an interpolation-based error, which measures the difference between the code output and the corresponding SC polynomial surrogate, when evaluated at new sample locations. The variance-based error selects the direction in which the variance in the output changes the most. For more information, we refer to the references below.\n", "\n", - "Assume that `[1, 0]` generated the highest error, and so it is added to the accepted set, now consisting of `[0, 0]` and `[1, 0]`. This means that `x1` has more points than `x2`. Also, adding a multi index to the accepted set means that the admissible set changes. In this case, since `[1, 0]` has been accepted, `[2, 0]` has become admissible. Note that the new entry `[2, 0]` also requires new evaluations of the code, and so a new ensemble must be submitted. Again, if we use a nested rule, the grid of `[2, 0]` will have a partial overlap with the accepted points, so we only have to evaluate the code at the new points, *not* all points of `[2, 0]`.\n", + "Assume that `[1, 0]` generated the highest error, and so it is added to the accepted set, now consisting of `[0, 0]` and `[1, 0]`. This means that `x1` has more points than `x2`. Also, adding a multi-index to the accepted set means that the admissible set changes. In this case, since `[1, 0]` has been accepted, `[2, 0]` has become admissible. Note that the new entry `[2, 0]` also requires new evaluations of the code, so a new ensemble must be submitted. Again, if we use a nested rule, the grid of `[2, 0]` will have partial overlap with the accepted points, so we only have to evaluate the code at the new points, *not* all points of `[2, 0]`.\n", "\n", - "Thus, the admissible set now consists of `[0, 1]` and `[2, 0]`. Hence, we now have to option of refining `x1` again (to second order), or refining `x2` to first order. Assume the latter happens. As both `x1` and `x2` have been refined to 1st order, `[1, 1]` has become admissible. If accepted, this multi index results in a *simultaneous* refinement of both `x1` and `x2`. Note that `[1, 1]` represents a tensor product, and that therefore it is not the same as `[1, 0]` and `[0, 1]` taken together. We added this example to show that the algoritmn is not limited to one-at-a-time refinement.\n", + "Thus, the admissible set now consists of `[0, 1]` and `[2, 0]`. Hence, we now have to option of refining `x1` again (to the second order), or refining `x2` to the first order. Assume the latter happens. As both `x1` and `x2` have been refined to 1st order, `[1, 1]` has become admissible. If accepted, this multi-index results in a *simultaneous* refinement of both `x1` and `x2`. Note that `[1, 1]` represents a tensor product and that therefore it is not the same as `[1, 0]` and `[0, 1]` taken together. We added this example to show that the algorithm is not limited to one-at-a-time refinement.\n", "\n", - "To conclude, every time a multi index is accepted, new indices become admissible, and the cycle repeats.\n", + "To conclude, every time a multi-index is accepted, new indices become admissible, and the cycle repeats.\n", "\n", "## References\n", "\n", "Our description of the method here was rather limited, so for more information and applications of this (and similar) methods, see the following references:\n", "\n", "* T. Gerstner and M. Griebel. \"Dimension–adaptive tensor–product quadrature.\" Computing 71.1 (2003): 65-87.\n", - "* W. Edeling , H. Arabnejad , R. Sinclair, D. Suleimenova, K. Gopalakrishnan, B. Bosak, D. Groen, I. Mahmood, D. Crommelin, and Peter V Coveney, \"The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code\", Nature Computational Science, 1 (2), 2021.\n", - "* D. Loukrezis, U. Römer, and H. De Gersem. \"Assessing the performance of Leja and Clenshaw-Curtis collocation for computational electromagnetics with random input data\". International Journal for Uncertainty Quantification , 9(1), 2019.\n", - "* J.D. Jakeman, M.S. Eldred, G. Geraci, and A. Gorodetsky. \"Adaptive multi-index collocation for uncertainty quantification and sensitivity analysis\". Numerical Methods in Engineering , 121(6):1314-1343, 2020." + "* W. Edeling, H. Arabnejad, R. Sinclair, D. Suleimenova, K. Gopalakrishnan, B. Bosak, D. Groen, I. Mahmood, D. Crommelin, and Peter V Coveney, \"The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code\", Nature Computational Science, 1 (2), 2021.\n", + "* D. Loukrezis, U. Römer, and H. De Gersem. \"Assessing the performance of Leja and Clenshaw-Curtis collocation for computational electromagnetics with random input data\". International Journal for Uncertainty Quantification, 9(1), 2019.\n", + "* J.D. Jakeman, M.S. Eldred, G. Geraci, and A. Gorodetsky. \"Adaptive multi-index collocation for uncertainty quantification and sensitivity analysis\". Numerical Methods in Engineering, 121(6):1314-1343, 2020." ] }, { @@ -127,10 +126,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Running an adaptive campaign starts exactly the same as creating a 'normal' SC campaign, with the exception of a few extra flags that are passed to the SC sampler object. We therefore start as usual with creating a Campaign, encoder and decoder, and setting up the parameters space:" + "Running an adaptive campaign starts the same as creating a 'normal' SC campaign, except for a few extra flags that are passed to the SC sampler object. We, therefore, start as usual with creating a Campaign, encoder and decoder, and setting up the parameters space:" ] }, { @@ -215,13 +215,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Here:\n", "\n", "* `polynomial_order=1`: do not change, will be adaptively increased for influential parameters. Technically, it'll change the quadrature order for different (combinations of) parameters).\n", - "* `quadrature_rule=\"C\":`selects the Clenshaw Curtis quadrature rule. This is a common choice, although others are available.\n", + "* `quadrature_rule=\"`C\":` selects the Clenshaw Curtis quadrature rule. This is a common choice, although others are available.\n", "* `sparse = True`: selects a sparse grid. This is required.\n", "* `growth = True`: selects a nested quadrature rule (a quadrature rule such that a 1D rule of order p contains all points of the same rule of order p-1). Also not required, but is efficient in high dimensions. Note that this can only be selected with a subset of all quadrature rules in Chaospy, including Clenshaw Curtis.\n", "* `midpoint_level1=True`: this means that the first iteration of the dimension-adaptive sampler consists of a single sample. \n", @@ -421,10 +422,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "A standard SC (or PCE) campaign would be over at this point. Except we have thus far only sampled a single point in the stochastic domain. To show this, we define the following function to plot 2D slices of the *accepted* points in the 20 dimensional input space. The `analysis.l_norm` array contains the accepted multi indices." + "A standard SC (or PCE) campaign would be over at this point. Except we have thus far only sampled a single point in the stochastic domain. To show this, we define the following function to plot 2D slices of the *accepted* points in the 20-dimensional input space. The `analysis.l_norm` array contains the accepted multi indices." ] }, { @@ -467,7 +469,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -481,13 +483,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "To refine the sampling plan, we need to:\n", "\n", "* Compute the candidate directions of the admissible set. This is done in the `look_ahead` subroutine.\n", - "* Run the ensemble of the new points. This is done exactly the same as before.\n", + "* Run the ensemble of the new points. This is done the same as before.\n", "* Accept the direction with the highest error. This is done in the `adapt_dimension` subroutine." ] }, @@ -574,7 +577,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -624,7 +627,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -634,10 +637,10 @@ } ], "source": [ - "# Now x2 got refined. This makes sense as 3 point along x1 are already enough \n", + "# Now x2 got refined. This makes sense as 3 points along x1 are already enough \n", "# to capture the second-order polynomial nature. This can also be seen by the printout of\n", "# the error above: \"Refinement error for l = (3, 1, 1, ..., 1) is 2.117582368135751e-22\".\n", - "# This multi index is corresponds to refining x1 again, and the associated error is \n", + "# This multi-index corresponds to refining x1 again, and the associated error is \n", "# practically zero, meaning that adding more points in the direction of x1 alone yields\n", "# no improvement.\n", "plot_grid_2D()" @@ -679,7 +682,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -748,7 +751,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -759,17 +762,17 @@ ], "source": [ "# Plot the slices again. Note that the (x1, x2) plane was refined simultaneously once \n", - "# (by accepting the multi index of quadrature order [1, 1, 0, ... ,0])\n", + "# (by accepting the multi-index of quadrature order [1, 1, 0, ... ,0])\n", "plot_grid_2D()" ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "### Post processing\n", - "\n", - "There are a number of post-processing step we can take. Below we show the 'adaptation table' which displays which multi indices were refined at every iteration. Note that at iteration 4, indeed both x1 and x2 were refined at the same time. At iteration 7, x1 and x3 were simultaneously refined to 1st order. It is clear that the algortihm focuses on (combinations of) important parameters first, and keeps the uninfluential parameters at order zero." + "### Post-processing\n", + "There are several post-processing steps we can take. Below we show the 'adaptation table' which displays which multi indices were refined at every iteration. Note that at iteration 4, indeed both x1 and x2 were refined at the same time. At iteration 7, x1 and x3 were simultaneously refined to 1st order. It is clear that the algorithm focuses on (combinations of) important parameters first, and keeps the uninfluential parameters at order zero." ] }, { @@ -785,7 +788,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -799,10 +802,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We can also make a histrogram which visualises the adaptation. This displays only a first-order information, i.e. only the maximum quadrature order per input. It therefore does not display that certain inputs were refined simultaneously:" + "We can also make a histogram that visualises the adaptation. This displays only first-order information, i.e. only the maximum quadrature order per input. It, therefore, does not display that certain inputs were refined simultaneously:" ] }, { @@ -817,7 +821,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -831,10 +835,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "To get a list of the error magnitudes associated to the multi indices that were selected use:" + "To get a list of the error magnitudes associated with the multi indices that were selected using:" ] }, { @@ -885,10 +890,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "This shows a nice monotonic decrease of the error. However, this is due to the fact that we have a simple polynomial test function, and the SC expansion is polynomial as well. More complex simulation codes can show non-monotonic behaviour." + "This shows a nice monotonic decrease of the error. However, this is because we have a simple polynomial test function, and the SC expansion is polynomial as well. More complex simulation codes can show non-monotonic behavior." ] }, { @@ -959,10 +965,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We can see that the estimates are fair, although not yet fully converged in this case. Note however that these results are computed only with the accepted set of multi indices. At the end, we can merge the accepted and admissible set (thereby using all samples), and recompute the results:" + "We can see that the estimates are fair, although not yet fully converged in this case. Note however that these results are computed only with the accepted set of multi-indices. In the end, we can merge the accepted and admissible set (thereby using all samples), and recompute the results:" ] }, { @@ -993,12 +1000,13 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "This improved our estimates. Note however, that if we would refine again from this point, the new admissble set will be very large, since we added *all* previous admissible indices to the accepted set. This opens up a wide range of possible new candidate directions, making the corresponding ensemble very large.\n", + "This improved our estimates. Note, however, that if we would refine again from this point, the new admissible set will be very large, since we added *all* previous admissible indices to the accepted set. This opens up a wide range of possible new candidate directions, making the corresponding ensemble very large.\n", "\n", - "Thus if we are still not happy about the result, we first have to undo the merging via `analysis.undo_merge()`, before refining again." + "Thus if we are still not happy with the result, we first have to undo the merging via `analysis.undo_merge()`, before refining again." ] }, { @@ -1039,7 +1047,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnYAAAHWCAYAAAD6oMSKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA3aklEQVR4nO3de5zPdf7///t7zNEwg8EwzIxJTmuUGtWO1lKYHCvs10jIRmVpd5G1DluszRIWfapx2FIfibRRW9FhFoWoHNtWpBWZGEIxSDPMPH5/+Hl/epsZvM3bME+36+Xyulx6PV+Hx/P5nvGae6/T22NmJgAAAJR5QZe7AwAAAAgMgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHXCFeuGFF+TxeIqchg0bpl27dsnj8eiFF14IWM2MjIyA7q8kLsX4ziUrK0sDBw5U/fr1FRERoSpVqqhJkyZ64IEHlJWV5ff+xo4dK4/Ho4MHDwasj3379lWdOnUCtp4/zoznp+rUqaO+ffsGtA6Akgm+3B0AcG7PP/+8GjZs6NMWFxen2NhYrV27VnXr1g1YrYyMDFWtWvWq+2P9zTff6MYbb1SlSpX0yCOPqEGDBjpy5Ig+//xzvfLKK/rqq68UHx9/ubt5wR599FH9/ve/v+R1XnvtNUVFRV3yOgAuHMEOuMIlJyerWbNmRS77+c9/ft7tf/jhB5UvXz7Q3QqI0uzbiRMnFB4eXuiskyT9/e9/18GDB/XJJ58oKSnJ23733Xdr1KhRKigoKJU+Bkogw/653HDDDaVSB8CF41IsUEYVdanyzOWyjRs36le/+pUqV67s/SP/1VdfqUePHoqLi1NYWJhiY2PVunVrbd68WdLpy2pbtmzRBx984L3keyGX8woKCjRp0iQ1bNhQYWFhql69uvr06aNvvvnGZ71WrVopOTlZK1euVPPmzVW+fHndf//9kqS9e/eqe/fuqlixoqKjo5Wenq59+/YVWW/9+vW68847VaVKFYWHh+uGG27QK6+84rPOmcvY7733nu6//35Vq1ZN5cuXV25ubpH7PHTokIKCglS9evUilwcF+R4q33jjDaWmpqp8+fKqWLGi2rZtq7Vr1xa5bVZWlrp27aqoqChFR0erV69eOnDgwEV9hheqqEuxHo9HDz/8sF588UU1atRI5cuX1/XXX6+33nqr0PZLlixR06ZNFRYWpqSkJE2ZMqXIOkVdij18+LAeeeQRXXPNNd6xdOjQQdu2bfOuk5eXp8cff9w73mrVqunXv/51oc9l+fLlatWqlWJiYhQREaGEhAR169ZNP/zww0V9LsDVgDN2wBUuPz9fp06d8mkLDj73P92uXbuqR48eGjBggI4fPy5J6tChg/Lz8zVp0iQlJCTo4MGDWrNmjQ4fPizp9GW1X/3qV4qOjlZGRoYkKSws7Lz9+81vfqPZs2fr4YcfVqdOnbRr1y49+uijev/997Vx40ZVrVrVu252drZ69eql4cOH669//auCgoJ04sQJtWnTRnv37tWECRNUv359LVmyROnp6YVqrVixQu3atdMtt9yimTNnKjo6Wi+//LLS09P1ww8/FAoZ999/vzp27KgXX3xRx48fV0hISJFjSE1N1TPPPKOuXbtq6NChSk1NLfYS4/z583XvvfcqLS1NCxYsUG5uriZNmqRWrVpp2bJl+sUvfuGzfpcuXdS9e3cNGDBAW7Zs0aOPPqrPP/9cH3/8sbc//nyGJbFkyRKtW7dO48aNU4UKFTRp0iR16dJFX3zxha655hpJ0rJly3TXXXcpNTVVL7/8svd3Zv/+/efd/9GjR/WLX/xCu3bt0h//+EfdcsstOnbsmFauXKns7Gw1bNhQBQUFuuuuu7Rq1SoNHz5czZs319dff60xY8aoVatWWr9+vSIiIrRr1y517NhRLVq00Jw5c1SpUiXt2bNH77zzjvLy8q7Ys9DAZWcArkjPP/+8SSpyOnnypO3cudMk2fPPP+/dZsyYMSbJHnvsMZ99HTx40CTZ9OnTz1mzcePG1rJlywvu49atW02SDRw40Kf9448/Nkk2atQob1vLli1Nki1btsxn3RkzZpgk++c//+nT/sADDxQaX8OGDe2GG26wkydP+qzbqVMnq1mzpuXn55vZ/312ffr0uaBxFBQU2EMPPWRBQUEmyTwejzVq1MiGDBliO3fu9K6Xn59vcXFx1qRJE28tM7OjR49a9erVrXnz5t62Mz+LIUOG+NR66aWXTJLNmzfPzPz7DO+77z5LTEw873iKWk+SxcbGWk5Ojrdt3759FhQUZBMmTPC23XLLLRYXF2cnTpzwtuXk5FiVKlXs7D8ZiYmJdt9993nnx40bZ5IsMzOz2L4tWLDAJNmiRYt82tetW2eSLCMjw8zMXn31VZNkmzdvPu94AfwfLsUCV7i5c+dq3bp1PtP5zth169bNZ75KlSqqW7euJk+erKlTp2rTpk1+3Td25qzhmenMtitWrJCkQmfKbr75ZjVq1EjLli3zaa9cubJuv/12n7YVK1aoYsWKuvPOO33ae/bs6TP/3//+V9u2bdO9994rST796dChg7Kzs/XFF1+c83Mojsfj0cyZM/XVV18pIyNDv/71r3Xy5ElNmzZNjRs31gcffCBJ+uKLL7R371717t3b5/JshQoV1K1bN3300UeFLhOe6e8Z3bt3V3BwsPez8/czLInbbrtNFStW9M7HxsaqevXq+vrrryVJx48f17p169S1a1eFh4d716tYsaI6d+583v2//fbbql+/vtq0aVPsOm+99ZYqVaqkzp07+/wMmzZtqho1auj999+XJDVt2lShoaF68MEH9b//+7/66quvLnLUwNWFYAdc4Ro1aqRmzZr5TOdTs2ZNn3mPx6Nly5bpjjvu0KRJk3TjjTeqWrVq+t3vfqejR4+ed39169ZVSEiIdxo3bpyk0/emFVVPOv3k7pnlxfXrzD5iY2MLtdeoUcNn/sylwGHDhvn0JSQkRAMHDpSkQq8WKareuSQmJuo3v/mNnnvuOX355ZdauHChfvzxR/3hD3/w9rW4/cbFxamgoEDff//9OccRHBysmJgY7778/QxLIiYmplBbWFiYTpw4IUn6/vvvVVBQUKjPUuFxFOXAgQOqXbv2OdfZv3+/Dh8+rNDQ0EI/x3379nl/hnXr1tW//vUvVa9eXYMGDVLdunVVt25dPfnkkxcyVOCqxT12gIOKevIzMTFRzz33nCRp+/bteuWVVzR27Fjl5eVp5syZ59zfm2++6fPgQVxcnKT/CwrZ2dmF/qDv3bu30L1hRfUrJiZGn3zySaH2sx+eOLOvkSNHqmvXrkX2s0GDBuet54/u3btrwoQJ+s9//uPtq3R6vGfbu3evgoKCVLlyZZ/2ffv2qVatWt75U6dO6dChQ959+fsZXkqVK1eWx+Mp8sGV4h5m+alq1aqd94GPqlWrKiYmRu+8806Ry396RrFFixZq0aKF8vPztX79ej311FMaPHiwYmNj1aNHj/P2B7gaccYOuArVr19ff/rTn9SkSRNt3LjR2/7Tszc/1aRJE58zhmeC3ZnLqvPmzfNZf926ddq6datat2593r7cdtttOnr0qN544w2f9vnz5/vMN2jQQPXq1dOnn35a6AzmmemnocAfRQU1STp27JiysrK8423QoIFq1aql+fPny8y86x0/flyLFi3yPin7Uy+99JLP/CuvvKJTp06pVatWkgLzGQZKZGSkbr75Zi1evFg//vijt/3o0aN68803z7t9+/bttX37di1fvrzYdTp16qRDhw4pPz+/yJ/h2eFcksqVK6dbbrlFzzzzjCT5/M4C8MUZO+Aq8O9//1sPP/yw/t//+3+qV6+eQkNDtXz5cv373//WiBEjvOs1adJEL7/8shYuXKhrrrlG4eHhatKkSbH7bdCggR588EE99dRTCgoKUvv27b1PdMbHx2vIkCHn7VufPn00bdo09enTR+PHj1e9evW0dOlSvfvuu4XWnTVrltq3b6877rhDffv2Va1atfTdd99p69at2rhxo/7xj39c1Oczfvx4ffjhh0pPT1fTpk0VERGhnTt36umnn9ahQ4c0efJkSadfezJp0iTde++96tSpkx566CHl5uZq8uTJOnz4sCZOnFho34sXL1ZwcLDatm3rfSr2+uuvV/fu3QP2GQbSX/7yF7Vr105t27bVI488ovz8fD3xxBOKjIzUd999d85tBw8erIULF+quu+7SiBEjdPPNN+vEiRP64IMP1KlTJ912223q0aOHXnrpJXXo0EG///3vdfPNNyskJETffPONVqxYobvuuktdunTRzJkztXz5cnXs2FEJCQn68ccfNWfOHEk65z18wFXvcj+9AaBoZ57sXLduXZHLz/VU7IEDB3zW3b9/v/Xt29caNmxokZGRVqFCBbvuuuts2rRpdurUKe96u3btsrS0NKtYsaJJuqAnMPPz8+2JJ56w+vXrW0hIiFWtWtV69eplWVlZPuu1bNnSGjduXOQ+vvnmG+vWrZtVqFDBKlasaN26dbM1a9YUGp+Z2aeffmrdu3e36tWrW0hIiNWoUcNuv/12mzlz5gV/dmf76KOPbNCgQXb99ddblSpVrFy5clatWjVr166dLV26tND6r7/+ut1yyy0WHh5ukZGR1rp1a/vwww991jnzs9iwYYN17tzZO7Z77rnH9u/ff1GfYUmfih00aFChdc9+stXM7I033rDrrrvOQkNDLSEhwSZOnOgdz/m2/f777+33v/+9JSQkWEhIiFWvXt06duxo27Zt865z8uRJmzJlil1//fUWHh5uFSpUsIYNG9pDDz1kX375pZmZrV271rp06WKJiYkWFhZmMTEx1rJlS3vjjTfOO37gauYx+8n1BAAAAJRZ3GMHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCPKxAuKCwoKtHfvXlWsWLHEXxEEAABQlpiZjh49qri4OAUFnfucXJkIdnv37lV8fPzl7gYAAMBlk5WVVeg7pc9WJoLdme9/zMrKUlRU1GXuDQAAQOnJyclRfHz8BX0fdpkIdmcuv0ZFRRHsAADAVelCbkfj4QkAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHHFRwS4jI0NJSUkKDw9XSkqKVq1aVey677//vjweT6Fp27ZtF91pAAAAFOZ3sFu4cKEGDx6s0aNHa9OmTWrRooXat2+v3bt3n3O7L774QtnZ2d6pXr16F91pAAAAFOZ3sJs6dar69eun/v37q1GjRpo+fbri4+M1Y8aMc25XvXp11ahRwzuVK1fuojsNAACAwvwKdnl5edqwYYPS0tJ82tPS0rRmzZpzbnvDDTeoZs2aat26tVasWHHOdXNzc5WTk+MzAQAA4Nz8CnYHDx5Ufn6+YmNjfdpjY2O1b9++IrepWbOmZs+erUWLFmnx4sVq0KCBWrdurZUrVxZbZ8KECYqOjvZO8fHx/nQTAADgqnRR3xV79neVmVmx31/WoEEDNWjQwDufmpqqrKwsTZkyRb/85S+L3GbkyJEaOnSod/7Ml98CAACgeH6dsatatarKlStX6Ozct99+W+gs3rn8/Oc/15dfflns8rCwMEVFRflMAAAAODe/gl1oaKhSUlKUmZnp056ZmanmzZtf8H42bdqkmjVr+lMaAAAA5+H3pdihQ4eqd+/eatasmVJTUzV79mzt3r1bAwYMkHT6MuqePXs0d+5cSdL06dNVp04dNW7cWHl5eZo3b54WLVqkRYsWBXYkAAAAVzm/g116eroOHTqkcePGKTs7W8nJyVq6dKkSExMlSdnZ2T7vtMvLy9OwYcO0Z88eRUREqHHjxlqyZIk6dOgQuFEAAABAHjOzy92J88nJyVF0dLSOHDlyye+3qzNiScD3uWtix4DvEwAAXB38yUF8VywAAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIy4q2GVkZCgpKUnh4eFKSUnRqlWrLmi7Dz/8UMHBwWratOnFlAUAAMA5+B3sFi5cqMGDB2v06NHatGmTWrRoofbt22v37t3n3O7IkSPq06ePWrdufdGdBQAAQPH8DnZTp05Vv3791L9/fzVq1EjTp09XfHy8ZsyYcc7tHnroIfXs2VOpqakX3VkAAAAUz69gl5eXpw0bNigtLc2nPS0tTWvWrCl2u+eff147duzQmDFjLq6XAAAAOK9gf1Y+ePCg8vPzFRsb69MeGxurffv2FbnNl19+qREjRmjVqlUKDr6wcrm5ucrNzfXO5+Tk+NNNAACAq9JFPTzh8Xh85s2sUJsk5efnq2fPnvrzn/+s+vXrX/D+J0yYoOjoaO8UHx9/Md0EAAC4qvgV7KpWrapy5coVOjv37bffFjqLJ0lHjx7V+vXr9fDDDys4OFjBwcEaN26cPv30UwUHB2v58uVF1hk5cqSOHDninbKysvzpJgAAwFXJr0uxoaGhSklJUWZmprp06eJtz8zM1F133VVo/aioKH322Wc+bRkZGVq+fLleffVVJSUlFVknLCxMYWFh/nQNAADgqudXsJOkoUOHqnfv3mrWrJlSU1M1e/Zs7d69WwMGDJB0+mzbnj17NHfuXAUFBSk5Odln++rVqys8PLxQOwAAAErG72CXnp6uQ4cOady4ccrOzlZycrKWLl2qxMRESVJ2dvZ532kHAACAwPOYmV3uTpxPTk6OoqOjdeTIEUVFRV3SWnVGLAn4PndN7BjwfQIAgKuDPzmI74oFAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcATBDgAAwBEEOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARBDsAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcATBDgAAwBEEOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARBDsAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcATBDgAAwBEEOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARBDsAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcATBDgAAwBEEOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARBDsAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcATBDgAAwBEEOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARBDsAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcMRFBbuMjAwlJSUpPDxcKSkpWrVqVbHrrl69WrfeeqtiYmIUERGhhg0batq0aRfdYQAAABQt2N8NFi5cqMGDBysjI0O33nqrZs2apfbt2+vzzz9XQkJCofUjIyP18MMP67rrrlNkZKRWr16thx56SJGRkXrwwQcDMggAAABIHjMzfza45ZZbdOONN2rGjBnetkaNGunuu+/WhAkTLmgfXbt2VWRkpF588cULWj8nJ0fR0dE6cuSIoqKi/Omu3+qMWBLwfe6a2DHg+wQAAFcHf3KQX5di8/LytGHDBqWlpfm0p6Wlac2aNRe0j02bNmnNmjVq2bKlP6UBAABwHn5dij148KDy8/MVGxvr0x4bG6t9+/adc9vatWvrwIEDOnXqlMaOHav+/fsXu25ubq5yc3O98zk5Of50EwAA4Kp0UQ9PeDwen3kzK9R2tlWrVmn9+vWaOXOmpk+frgULFhS77oQJExQdHe2d4uPjL6abAAAAVxW/zthVrVpV5cqVK3R27ttvvy10Fu9sSUlJkqQmTZpo//79Gjt2rO65554i1x05cqSGDh3qnc/JySHcAQAAnIdfZ+xCQ0OVkpKizMxMn/bMzEw1b978gvdjZj6XWs8WFhamqKgonwkAAADn5vfrToYOHarevXurWbNmSk1N1ezZs7V7924NGDBA0umzbXv27NHcuXMlSc8884wSEhLUsGFDSaffazdlyhT99re/DeAwAAAA4HewS09P16FDhzRu3DhlZ2crOTlZS5cuVWJioiQpOztbu3fv9q5fUFCgkSNHaufOnQoODlbdunU1ceJEPfTQQ4EbBQAAAPx/j93lwHvsAADA1eqSvccOAAAAVy6CHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOCIiwp2GRkZSkpKUnh4uFJSUrRq1api1128eLHatm2ratWqKSoqSqmpqXr33XcvusMAAAAomt/BbuHChRo8eLBGjx6tTZs2qUWLFmrfvr12795d5PorV65U27ZttXTpUm3YsEG33XabOnfurE2bNpW48wAAAPg/HjMzfza45ZZbdOONN2rGjBnetkaNGunuu+/WhAkTLmgfjRs3Vnp6uh577LELWj8nJ0fR0dE6cuSIoqKi/Omu3+qMWBLwfe6a2DHg+wQAAFcHf3KQX2fs8vLytGHDBqWlpfm0p6Wlac2aNRe0j4KCAh09elRVqlTxpzQAAADOI9iflQ8ePKj8/HzFxsb6tMfGxmrfvn0XtI+//e1vOn78uLp3717sOrm5ucrNzfXO5+Tk+NNNAACAq9JFPTzh8Xh85s2sUFtRFixYoLFjx2rhwoWqXr16setNmDBB0dHR3ik+Pv5iugkAAHBV8SvYVa1aVeXKlSt0du7bb78tdBbvbAsXLlS/fv30yiuvqE2bNudcd+TIkTpy5Ih3ysrK8qebAAAAVyW/gl1oaKhSUlKUmZnp056ZmanmzZsXu92CBQvUt29fzZ8/Xx07nv9BgrCwMEVFRflMAAAAODe/7rGTpKFDh6p3795q1qyZUlNTNXv2bO3evVsDBgyQdPps2549ezR37lxJp0Ndnz599OSTT+rnP/+592xfRESEoqOjAzgUAACAq5vfwS49PV2HDh3SuHHjlJ2dreTkZC1dulSJiYmSpOzsbJ932s2aNUunTp3SoEGDNGjQIG/7fffdpxdeeKHkIwAAAICki3iP3eXAe+wAAMDV6pK9xw4AAABXLoIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgiODL3YGrWZ0RSwK+z10TOwZ8nwAAoGzgjB0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgiIsKdhkZGUpKSlJ4eLhSUlK0atWqYtfNzs5Wz5491aBBAwUFBWnw4MEX21cAAACcg9/BbuHChRo8eLBGjx6tTZs2qUWLFmrfvr12795d5Pq5ubmqVq2aRo8ereuvv77EHQYAAEDR/A52U6dOVb9+/dS/f381atRI06dPV3x8vGbMmFHk+nXq1NGTTz6pPn36KDo6usQdBgAAQNH8CnZ5eXnasGGD0tLSfNrT0tK0Zs2agHUqNzdXOTk5PhMAAADOza9gd/DgQeXn5ys2NtanPTY2Vvv27QtYpyZMmKDo6GjvFB8fH7B9AwAAuOqiHp7weDw+82ZWqK0kRo4cqSNHjninrKysgO0bAADAVcH+rFy1alWVK1eu0Nm5b7/9ttBZvJIICwtTWFhYwPYHAABwNfDrjF1oaKhSUlKUmZnp056ZmanmzZsHtGMAAADwj19n7CRp6NCh6t27t5o1a6bU1FTNnj1bu3fv1oABAySdvoy6Z88ezZ0717vN5s2bJUnHjh3TgQMHtHnzZoWGhupnP/tZYEYBAAAA/4Ndenq6Dh06pHHjxik7O1vJyclaunSpEhMTJZ1+IfHZ77S74YYbvP+9YcMGzZ8/X4mJidq1a1fJeg8AAAAvv4OdJA0cOFADBw4sctkLL7xQqM3MLqYMAAAA/MB3xQIAADiCYAcAAOCIi7oUi7KlzoglAd/nrokdA75PAABQMpyxAwAAcATBDgAAwBEEOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARBDsAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcATBDgAAwBEEOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARBDsAAABHEOwAAAAcQbADAABwBMEOAADAEQQ7AAAARxDsAAAAHEGwAwAAcATBDgAAwBHBl7sDcEudEUsCvs9dEzsGfJ8AALiIM3YAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjiDYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjgi93B4CLUWfEkkuy310TO16S/QIAUBo4YwcAAOAIgh0AAIAjCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2AAAAjuA9dsB5XIp35vG+PADApcAZOwAAAEcQ7AAAABxBsAMAAHAEwQ4AAMARPDwBXCEuxUMaEg9qAMDVhDN2AAAAjiDYAQAAOIJLscBViHfzAYCbOGMHAADgCM7YAbhkeCAEAEoXZ+wAAAAcwRk7AE7gvkEAINgBgN8IkQCuVAQ7ALhCESAB+Ouigl1GRoYmT56s7OxsNW7cWNOnT1eLFi2KXf+DDz7Q0KFDtWXLFsXFxWn48OEaMGDARXcaABBYpRUiCavApeX3wxMLFy7U4MGDNXr0aG3atEktWrRQ+/bttXv37iLX37lzpzp06KAWLVpo06ZNGjVqlH73u99p0aJFJe48AAAA/o/fZ+ymTp2qfv36qX///pKk6dOn691339WMGTM0YcKEQuvPnDlTCQkJmj59uiSpUaNGWr9+vaZMmaJu3bqVrPcAABSDs4O4GvkV7PLy8rRhwwaNGDHCpz0tLU1r1qwpcpu1a9cqLS3Np+2OO+7Qc889p5MnTyokJKTQNrm5ucrNzfXOHzlyRJKUk5PjT3cvSkHuDwHfZ3H9Lq1ajOnKq8WYykYtF3/PGVPgayWPeTfgdSTpP3++o1RqlVad0qx1uccUaGd+78zs/CubH/bs2WOS7MMPP/RpHz9+vNWvX7/IberVq2fjx4/3afvwww9Nku3du7fIbcaMGWOSmJiYmJiYmJiY/v8pKyvrvFntoh6e8Hg8PvNmVqjtfOsX1X7GyJEjNXToUO98QUGBvvvuO8XExJyzTmnKyclRfHy8srKyFBUVVebrlGYtxkSty1WnNGsxprJRizFR63LV8YeZ6ejRo4qLizvvun4Fu6pVq6pcuXLat2+fT/u3336r2NjYIrepUaNGkesHBwcrJiamyG3CwsIUFhbm01apUiV/ulpqoqKiSuUHX1p1SrMWY6LW5apTmrUYU9moxZiodbnqXKjo6OgLWs+vp2JDQ0OVkpKizMxMn/bMzEw1b968yG1SU1MLrf/ee++pWbNmRd5fBwAAgIvj9+tOhg4dqmeffVZz5szR1q1bNWTIEO3evdv7XrqRI0eqT58+3vUHDBigr7/+WkOHDtXWrVs1Z84cPffccxo2bFjgRgEAAAD/X3eSnp6uQ4cOady4ccrOzlZycrKWLl2qxMRESVJ2drbPO+2SkpK0dOlSDRkyRM8884zi4uL0P//zP2X+VSdhYWEaM2ZMoUvGZbVOadZiTNS6XHVKsxZjKhu1GBO1LledS8VjdiHPzgIAAOBK5/elWAAAAFyZCHYAAACOINgBAAA4gmAHAADgCIIdAACAIwh2uCzef/99nThx4nJ3I2Byc3O1Y8cO5ebmXu6uBNT+/fsLfXNMIOXn52v//v06ePDgJauBsmnnzp06derU5e5GQLk2njN4ucaVhWBXQlu3btU111wTsP19+umnevzxx5WRkVHoj11OTo7uv//+gNR59tlndd999+n555+XJC1cuFCNGjXSNddcozFjxgSkxrmkpaVp165dAdvf9u3bfQ4uq1ev1t13363GjRurTZs2+uc//xmwWi+88II++ugjSdKPP/6o/v37KzIyUvXr11eFChU0YMCAgAS8Jk2a6C9/+YuysrJKvK/z+e6779StWzclJiZq0KBBys/PV//+/VWzZk3VqlVLzZs3V3Z2dsDqLVmyRL/85S8VGRmpuLg4xcbGqlKlSurdu7fPezBLat26dbr33nuVlJSkiIgIlS9fXklJSbr33nu1fv36gNU5nx07duj2228PyL6ys7M1b948LV26VHl5eT7Ljh8/rnHjxgWkjnT6W4XGjBmj5cuXS5JWrlyp9u3b6/bbb/ceOy6VBg0a6MsvvwzoPs/+vHbs2KHBgwerY8eO6t+/vzZs2BCQOu+8844+++wzSae/6/zxxx9XrVq1FBYWptq1a2vixIkBC0OdO3fWiy++eMn/Rzk3N1ePPPKIWrZsqcmTJ0uSHn/8cVWoUEEVKlRQz549lZOTE7B6n376qfr06aNrrrlGERERqlChgpo0aaJHH300oHWkK+c4ETCGEtm8ebMFBQUFZF/vvvuuhYaGWuPGjS0hIcGqVq1qy5cv9y7ft29fQGpNmzbNIiMjrWvXrlazZk17/PHHLSYmxh5//HEbN26cRUdH26xZs0pcx8zshhtuKHLyeDzWqFEj73xJBQUF2f79+83MbMWKFRYUFGSdO3e28ePHW7du3SwoKMjeeeedEtcxM7v22mtt3bp1ZmY2bNgwq1Onji1evNi2bt1qr7/+utWvX9/+8Ic/lLiOx+OxmJgYK1eunN1xxx326quv2smTJ0u836L8+te/tuTkZHvqqaesZcuWdvfdd9t1111nq1evtjVr1thNN91kffr0CUituXPnWsWKFW3w4ME2YsQIi42NtREjRtiMGTOsZcuWVrVqVdu+fXuJ67z22msWEhJi7dq1s2nTptn8+fPtpZdesmnTpln79u0tNDTUXn/99QCM6PwCdZz45JNPrFKlShYVFWURERFWr149+89//uNdHqhjhJnZiy++aMHBwXbjjTdahQoV7Pnnn7dKlSpZ//79rV+/fhYaGmr/+Mc/SlynS5cuRU5BQUHWpk0b73wg/PQ4sWnTJitfvrw1bdrUHnjgAbvpppssNDTUPv744xLX+dnPfmYffvihmZn99a9/tZiYGJs6daq9/fbbNn36dIuNjbWJEyeWuI7Z6eNEcHCwRUdH24ABA2z9+vUB2e/ZhgwZYnFxcfbII49Yo0aNbNCgQZaQkGDz5s2z+fPn27XXXmu//e1vA1LrnXfesYiICLv77rvtnnvusfLly9vDDz9sf/zjH+3aa6+1unXrWnZ2dkBqXUnHiUAh2J3HkCFDzjn16tUrYAfS1NRUGzVqlJmZFRQU2KRJk6xChQr29ttvm1ngDtoNGza0l156yczMNm7caMHBwfbss896l8+ZM8dSUlJKXMfMLDg42Nq1a2djx471TmPGjLGgoCAbOHCgt62kPB6P94DdunVrGzhwoM/yESNG2C9/+csS1zEzCwsLs6+//trMzOrXr+/9+ZzxwQcfWEJCQonreDwe27Nnj7322mvWuXNnCw4OtmrVqtkjjzxin3/+eYn3/1M1a9b0/iHat2+feTwee++997zLV69ebbVq1QpIrYYNG9rLL7/snV+3bp3Vrl3bCgoKzMwsPT09IH/IGzdubBMmTCh2+cSJE+1nP/tZieuYmT355JPnnIYPHx6Qf7tt2rSx+++/3/Lz8y0nJ8cGDhxoMTExtnHjRjMLbLBr2rSpPfnkk2Zm9q9//csiIiJs6tSp3uV/+9vf7NZbby1xHY/HYy1btrS+ffv6TEFBQXb33Xd75wPhp8eJTp062a9+9Svv753Z6f/BadeuXYnrhIeH2+7du83MLDk52RYuXOiz/K233rJrr722xHXMTo9py5YtNm3aNGvSpIkFBQXZddddZ0899ZR99913AalhZhYfH2+ZmZlmZrZjxw4LCgryCTzvvfeeJSYmBqRW06ZNbcaMGT77btiwoZmZ5eXlWevWrQP2O1Gax4nSQrA7j6CgILvxxhutVatWRU7NmjUL2IE0KirK/vvf//q0zZ8/3yIjI+2NN94I2EE7IiLCG0zMTgeVn/5f/5dffmmVKlUqcR2z04Ggbt269thjj1l+fr63PTg42LZs2RKQGma+B+yaNWvaRx995LN8y5YtFhMTE5BaiYmJ3jOptWrV8p69O+Pzzz+3yMjIEtf56ZjMzLKzs+2vf/2r1atXz4KCgiw1NdWee+65EtcxMytfvrzt2rXLOx8SEmKfffaZd/6rr74KyJjMTv/+7dy506ctODjY9uzZY2ZmH3/8cUB+/8LCwuyLL74odvm2bdssLCysxHXMTv+s4uLirE6dOkVOcXFxAfm3W7ly5UJjeuKJJ6xy5cr2ySefBDTYRUZG2ldffeWdDwkJsU8//dQ7v23btoD8m1qwYIHVrl3b5syZ49Me6GOEme+/qdq1a9vq1at9lm/evNliY2NLXKdmzZq2du1aMzOLjY31Bu8ztm/fbhERESWuY1b4OPHxxx/bgw8+aNHR0RYREWH33HOPLVu2rMR1zv67ERIS4vN3Y+fOnVa+fPkS1zE7HYx/eowoKCiwkJAQ27t3r5mZrVy50qpVqxaQWqV5nCgt3GN3HvXq1dOQIUO0YsWKIqe///3vAasVFhamw4cP+7Tdc889eu6559SjRw+99tprAalTvnx5HT9+3DtfrVo1VahQwWedQN3ke+utt2rjxo3avn27UlNTtWPHjoDstyhHjx5VTk6OIiIiCn3HX2hoaMDuQbn33ns1evRoHT58WL1799a4ceN07NgxSdIPP/ygsWPH6tZbby1xHY/H4zNfo0YNjRw5Utu3b9eyZctUt25d/e53vytxHen07/lbb70lSXr77bcVHh6u9957z7v83XffVVJSUkBq1alTx+e+lY0bNyooKEixsbGSpCpVqujkyZMlrlO3bl29/vrrxS7/5z//GbD7YxMTEzVt2jTt3LmzyGnJkiUBqSOdvq/zp4YPH65Ro0YpLS1Na9asCVidkJAQn3vSwsLCfI4Tgfo31aNHD61evVpz5sxRt27d9P3335d4n8XxeDzef1flypVTVFSUz/KoqCgdOXKkxHW6dOmi8ePHKz8/X3fddZcyMjJ87ql7+umn1bRp0xLXKcrNN9+sWbNmKTs7WxkZGcrKylLbtm1LvN+EhAStXbtW0ul70jwejz755BPv8o8//li1atUqcR1JqlWrlr744gvv/I4dO1RQUKCYmBhJUu3atb3H3JIqzeNEqbncyfJK17NnTxs8eHCxyzdv3mwejycgtdq2bWuTJ08uctn8+fMtJCQkIP83fuutt/pcCjvbm2++acnJySWuc7Y5c+ZYjRo1bNasWRYSEhLwM3ZBQUEWFBRkHo/H59Kymdnrr78esEsfubm5duedd1rlypWtbdu2Fh4ebuXLl7d69epZZGSkJSQknPP/AC/U2f8nXpQjR46UuI6Z2bx586xcuXJ27bXXWnh4uL366qsWFxdn3bt3tx49elhoaKg9/fTTAan19NNPW3R0tA0fPtwee+wxi4uLs379+vn0JRD3Xb766qsWHBxsHTp0sOnTp9uCBQvs5ZdftunTp1vHjh0tJCTEFi1aVOI6ZmbdunWz4cOHF7s8UMeJFi1a+Fyi+qlJkyZZWFhYwM7YNWvWzOdS25EjR3wuW2ZmZlr9+vUDUsvMLD8/3x577DGLj4+3d955J+DHCLPT/6YqVapklStXtpCQEO8tKWe8++67VqdOnRLXOXz4sDVr1syuvfZa6927t4WHh1tiYqK1bdvWkpKSLCoqqtBVhYt1IceJQNyzOm3aNAsPD7c2bdpY5cqV7amnnrIaNWrY8OHDbcSIERYdHW3jxo0rcR0zsz//+c9Wu3ZtmzFjhs2ZM8eSk5N9bs9YvHhxwC6PluZxorQQ7M4jOzvb5xLVpbR48eJzhsj58+dbq1atSlxn9erVtmnTpmKXP/PMMwH7I3627du320033eS9LyRQ3n//fZ/p7GA1ffr0YkPzxXr77bdt4MCB1q5dO0tLS7P77rvPZs+ebceOHQvI/vv27Ws5OTkB2deFWLVqlU2ZMsXWrFljZqcvX/fu3du6detmL7zwQkBrZWRkWPPmzS0lJcVGjRplJ06c8C7bvn27bd26NSB11qxZY+np6ZaQkGChoaEWGhpqCQkJlp6e7h1nIGzZsqXQJfmfysvLC8hx5O9//7v16tWr2OVPPPFEQIKJ2enj0QcffFDs8gkTJtif/vSngNT6qdWrV1tSUpIFBQUFPNi98MILPtPZ4erPf/6zDRkyJCC18vLybMaMGdahQwdr2LCh1a9f31q2bGmjRo2yrKysgNQwM2vVqpV9//33AdvfucybN88efvhh74mBFStWWIsWLSwlJcXGjh3rc7tNSZw8edKGDx9ucXFxFhMTYz179rQDBw54l3/88cfn/N30V2kdJ0oLwe4CnblptCgzZ84sk7Uu15jy8/Pt8OHD3v/7d2FMl7KWi2Mq7VooW44ePWqbN2+23Nzcy90VoMwh2F2g0NBQGzp0qM+B5ttvv7VOnTpZ5cqVy2QtxlQ2ark4ptKuBQBXCx6euEArV67Um2++qZtuuklbtmzRkiVLlJycrGPHjunTTz8tk7WupjEdPXrUuTGV5Z9TadcqSqBfLn4l1GJMZaMWY7qyapXWFwOUmsudLMuSY8eOWa9evSwsLMxCQkLsiSee8LmZuCzWYkxlo5aLYyrtWmcL5MvFr5RajKls1GJMV06t0vpigNIUfLmDZVnyxRdfaN26dapdu7b27t2rbdu26YcfflBkZGSZrcWYykYtF8d0qWsNHTr0nMsPHDhQ4hqlXYsxlY1ajKns1Bo7dqyGDRum8ePHy8w0ZcoU3XnnnfrHP/6hdu3aBaxOafKY8e29F2LixIkaM2aMHnzwQU2ePFk7duxQr169lJOTo3nz5ik1NbXM1WJMZaOWi2MqjVrlypVT06ZNC72r7Ixjx45p48aNys/PL1Gd0qzFmEqGMV35dUq7VnR0tDZu3Ki6det62xYsWKAHHnhACxYs0M0336y4uLiA1Co1l/mMYZlRo0YNW7p0qU9bXl6eDRs2zEJDQ8tkLcZUNmq5OKbSqNWgQQN78cUXi12+adOmgF1iKa1ajKls1GJMZadWtWrVivx+3ZdfftnKly9vM2bMKHOXYnl44gJ99tlnat++vU9bSEiIJk+e7POG/rJUizGVjVoujqk0aqWkpGjDhg3FLvd4PD7fBlAWajGmslGLMZWdWk2bNtWKFSsKtaenp+vZZ58N2Lf7lCYuxQJw0r59+5Sbm6vExERnajGmslGLMZWdWq+99ppWrlypadOmFbl8wYIFmj17dpHh70rFGTsATqpRo4YSExP1r3/9q9h1Zs2aVaZqMaayUYsxlZ1aXbp00bRp04qtdc8996hHjx4BqVVqLs8VYAAoHS6+dJkxlY1ajIlalwNn7AA4zcWXLjOmslGLMVHrsrjcyRIALjUXX7rMmMpGLcZErdLGGTsAzvvpi5CDg4O9L0Iuy7UYU9moxZioVdoIdgCcNnHiRKWmpqpt27b6z3/+o3Xr1mnTpk267rrrtHbt2jJZizGVjVqMiVqXxeU+ZQgAl5JLL10u7TqlWYsxlY1aLo6ptGtdagQ7AE47cOBAscvef//9MlmLMZWNWoyJWpcDLygGAABwBPfYAQAAOIJgBwAA4AiCHQAAgCMIdgAAAI4g2AEAADiCYAcAAOAIgh0AAIAjCHYAAACO+P8A4AVqJEVtVGkAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -1065,6 +1073,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ diff --git a/tutorials/dimension_adaptive_tutorial_fusion.ipynb b/tutorials/dimension_adaptive_tutorial_fusion.ipynb index 1b574190b..8db145a26 100644 --- a/tutorials/dimension_adaptive_tutorial_fusion.ipynb +++ b/tutorials/dimension_adaptive_tutorial_fusion.ipynb @@ -1,12 +1,13 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Dimension adaptive sampling tutorial\n", "\n", - "Here, briefly describe the concept behind dimension-adaptive sparse grids, starting from a standard Stochastic Collocation (SC) campaign. Following this, a dimension adaptive EasyVVUQ script using a simple analytic test function is presented. We will assume you are familiar with the basics of EasyVVUQ.\n", + "Here, briefly describe the concept behind dimension-adaptive sparse grids, starting from a standard Stochastic Collocation (SC) campaign. Following this, a dimension-adaptive EasyVVUQ script using a simple analytic test function is presented. We will assume you are familiar with the basics of EasyVVUQ.\n", "\n", "## Standard SC\n", "\n", @@ -15,15 +16,13 @@ "```python\n", "sampler = uq.sampling.SCSampler(vary=vary, polynomial_order=2)\n", "```\n", - "Here the specified `polynomial_order`, and the number of inputs in `vary`, determine the\n", - "number of samples, which increases exponentially fast with an increasing amount of inputs. This\n", + "Here the specified `polynomial_order`, and the number of inputs in `vary`, determining the number of samples, which increases exponentially fast with an increasing amount of inputs. This\n", "is the so-called *curse of dimensionality*. \n", "\n", "Basically, by setting `polynomial_order=2` we create a sampling plan through a single tensor product of one-dimensional quadrature nodes with order 3 for every input. It is this tensor product construction that leads to the exponential rise in cost. So if we have 2 inputs `x1` and `x2`, and our one-dimensional quadrature rule of order 2 produces 5 points, we obtain a total of 25 points in the `(x1, x2)` domain. Likewise, if `vary` contains 3 inputs, we would need to evaluate the computational model 125 times, and 10 inputs would require `5**10 = 9765625` model evaluations. For this reason, a standard SC campaign is rarely used beyond 6 or 7 inputs.\n", "\n", "## Sparse SC\n", - "\n", - "Sparse grids on the other hand, do not create a single tensor product, but build the sampling plan from the ground up by using a *linear combination of tensor products involving 1D quadrature rules of* ***different*** *orders*. \n", + "Sparse grids, on the other hand, do not create a single tensor product but build the sampling plan from the ground up by using a *linear combination of tensor products involving 1D quadrature rules of* ***different*** *orders*. \n", "\n", "For two inputs, we might for instance consider using 1D quadrature rules of order [0, 0], [0, 1] and [1, 0], where:\n", "\n", @@ -31,9 +30,9 @@ " * [0, 1]: a line of 3 points with constant x1\n", " * [1, 0]: a line of 3 points with constant x2\n", "\n", - "In the case of sparse grids it is common to select a *nested* quadrature rule. This means that the quadrature\n", - "rule of order p contains all points of the same rule of order p-1. When taking the linear combinations, a nested rule ensures that many points will conincide, which yields efficient sampling \n", - "plans, especially in higher dimensions. If our nested 1D rule of order 1 and 2 generates the points [0.5] and [0, 0.5, 1] we obtain a sampling plan consisting of\n", + "In the case of sparse grids, it is common to select a *nested* quadrature rule. This means that the quadrature\n", + "rule of order p contains all points of the same rule of order p-1. When taking the linear combinations, a nested rule ensures that many points will coincide, which yields efficient sampling \n", + "plans, especially in higher dimensions. If our nested 1D rule of order 1 and 2 generate the points [0.5] and [0, 0.5, 1] we obtain a sampling plan consisting of\n", "\n", " * [0, 0]: [0.5, 0.5]\n", " * [0, 1]: [0.5, 0.0], [0.5, 0.5], [0.5, 1.0]\n", @@ -43,29 +42,29 @@ "\n", "## Dimension-adaptive SC\n", "\n", - "What we described above is an *isotropic* sparse grid, since the multi indices `[0, 0], [1, 0], [0,1]` result in a sampling plan where both inputs end up with the same number of samples. However, in practice model parameters are rarely equally important. The idea behind dimension-adaptive sampling is to build the sampling plan in an iterative fashion, find out which (combination of) parameters are important as we go, and then place more samples along those directions. This results in a anisotropic sampling plan, where the important inputs get relatively high number of samples. To find out which directions are important we need an appropriate error measure, and we need to split the quadrature order multi indices in an *accepted* and an *admissible* set. The accepted set is initialized to `[0, 0]` in 2D, i.e. we start with just a single code evaluation. Without going into detail, we can think of the admissible set as the candidate refinement directions, from which we must add a single entry to the accepted set at every iteration.\n", + "What we described above is an *isotropic* sparse grid, since the multi indices `[0, 0], [1, 0], [0,1]` result in a sampling plan where both inputs end up with the same number of samples. However, in practice model parameters are rarely equally important. The idea behind dimension-adaptive sampling is to build the sampling plan iteratively, find out which (combination of) parameters are important as we go, and then place more samples along those directions. This results in an anisotropic sampling plan, where the important inputs get a relatively high number of samples. To find out which directions are important we need an appropriate error measure, and we need to split the quadrature order multi indices in an *accepted* and an *admissible* set. The accepted set is initialized to `[0, 0]` in 2D, i.e. we start with just a single code evaluation. Without going into detail, we can think of the admissible set as the candidate refinement directions, from which we must add a single entry to the accepted set at every iteration.\n", "\n", - "In our 2D example, at the 1st iteration the candidate set consists of `[1, 0]` and `[0, 1]`. That is, we can either refine only `x1` or only `x2`. We must select the multi index which generates the highest error when added to the accepted set. There are a variety of error measures, the two main ones in EasyVVUQ are:\n", + "In our 2D example, at the 1st iteration, the candidate set consists of `[1, 0]` and `[0, 1]`. That is, we can either refine only `x1` or only `x2`. We must select the multi-index which generates the highest error when added to the accepted set. There are a variety of error measures, the two main ones in EasyVVUQ are:\n", "\n", "1. the hierarchical surplus error, and\n", "2. a variance-based error.\n", "\n", - "Roughly speaking, the surplus is an interpolation based error, which measures the difference between the code output and the corresponding SC polynomial surrogate, when evaluated at new sample locations. The variance-based error selects the direction in which the variance in the output changes the most. For more information we refer to the references below.\n", + "Roughly speaking, the surplus is an interpolation-based error, which measures the difference between the code output and the corresponding SC polynomial surrogate, when evaluated at new sample locations. The variance-based error selects the direction in which the variance in the output changes the most. For more information, we refer to the references below.\n", "\n", - "Assume that `[1, 0]` generated the highest error, and so it is added to the accepted set, now consisting of `[0, 0]` and `[1, 0]`. This means that `x1` has more points than `x2`. Also, adding a multi index to the accepted set means that the admissible set changes. In this case, since `[1, 0]` has been accepted, `[2, 0]` has become admissible. Note that the new entry `[2, 0]` also requires new evaluations of the code, and so a new ensemble must be submitted. Again, if we use a nested rule, the grid of `[2, 0]` will have a partial overlap with the accepted points, so we only have to evaluate the code at the new points, *not* all points of `[2, 0]`.\n", + "Assume that `[1, 0]` generated the highest error, and so it is added to the accepted set, now consisting of `[0, 0]` and `[1, 0]`. This means that `x1` has more points than `x2`. Also, adding a multi-index to the accepted set means that the admissible set changes. In this case, since `[1, 0]` has been accepted, `[2, 0]` has become admissible. Note that the new entry `[2, 0]` also requires new evaluations of the code, so a new ensemble must be submitted. Again, if we use a nested rule, the grid of `[2, 0]` will have partial overlap with the accepted points, so we only have to evaluate the code at the new points, *not* all points of `[2, 0]`.\n", "\n", - "Thus, the admissible set now consists of `[0, 1]` and `[2, 0]`. Hence, we now have to option of refining `x1` again (to second order), or refining `x2` to first order. Assume the latter happens. As both `x1` and `x2` have been refined to 1st order, `[1, 1]` has become admissible. If accepted, this multi index results in a *simultaneous* refinement of both `x1` and `x2`. Note that `[1, 1]` represents a tensor product, and that therefore it is not the same as `[1, 0]` and `[0, 1]` taken together. We added this example to show that the algoritmn is not limited to one-at-a-time refinement.\n", + "Thus, the admissible set now consists of `[0, 1]` and `[2, 0]`. Hence, we now have the option of refining `x1` again (to the second order) or refining `x2` to the first order. Assume the latter happens. As both `x1` and `x2` have been refined to 1st order, `[1, 1]` has become admissible. If accepted, this multi-index results in a *simultaneous* refinement of both `x1` and `x2`. Note that `[1, 1]` represents a tensor product and that therefore it is not the same as `[1, 0]` and `[0, 1]` taken together. We added this example to show that the algorithm is not limited to one-at-a-time refinement.\n", "\n", - "To conclude, every time a multi index is accepted, new indices become admissible, and the cycle repeats.\n", + "To conclude, every time a multi-index is accepted, new indices become admissible, and the cycle repeats.\n", "\n", "## References\n", "\n", "Our description of the method here was rather limited, so for more information and applications of this (and similar) methods, see the following references:\n", "\n", "* T. Gerstner and M. Griebel. \"Dimension–adaptive tensor–product quadrature.\" Computing 71.1 (2003): 65-87.\n", - "* W. Edeling , H. Arabnejad , R. Sinclair, D. Suleimenova, K. Gopalakrishnan, B. Bosak, D. Groen, I. Mahmood, D. Crommelin, and Peter V Coveney, \"The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code\", Nature Computational Science, 1 (2), 2021.\n", - "* D. Loukrezis, U. Römer, and H. De Gersem. \"Assessing the performance of Leja and Clenshaw-Curtis collocation for computational electromagnetics with random input data\". International Journal for Uncertainty Quantification , 9(1), 2019.\n", - "* J.D. Jakeman, M.S. Eldred, G. Geraci, and A. Gorodetsky. \"Adaptive multi-index collocation for uncertainty quantification and sensitivity analysis\". Numerical Methods in Engineering , 121(6):1314-1343, 2020." + "* W. Edeling, H. Arabnejad, R. Sinclair, D. Suleimenova, K. Gopalakrishnan, B. Bosak, D. Groen, I. Mahmood, D. Crommelin, and Peter V Coveney, \"The Impact of Uncertainty on Predictions of the CovidSim Epidemiological Code\", Nature Computational Science, 1 (2), 2021.\n", + "* D. Loukrezis, U. Römer, and H. De Gersem. \"Assessing the performance of Leja and Clenshaw-Curtis collocation for computational electromagnetics with random input data\". International Journal for Uncertainty Quantification, 9(1), 2019.\n", + "* J.D. Jakeman, M.S. Eldred, G. Geraci, and A. Gorodetsky. \"Adaptive multi-index collocation for uncertainty quantification and sensitivity analysis\". Numerical Methods in Engineering, 121(6):1314-1343, 2020." ] }, { @@ -484,7 +483,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "\r", + "\r\n", " 0%| | 0/1 [00:00" ] @@ -863,7 +863,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -879,13 +879,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "To refine the sampling plan, we need to:\n", "\n", "* Compute the candidate directions of the admissible set. This is done in the `look_ahead` subroutine.\n", - "* Run the ensemble of the new points. This is done exactly the same as before.\n", + "* Run the ensemble of the new points. This is done the same as before.\n", "* Accept the direction with the highest error. This is done in the `adapt_dimension` subroutine." ] }, @@ -1013,7 +1014,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1040,7 +1041,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1107,7 +1108,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY8AAAEKCAYAAADq59mMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABAHklEQVR4nO3dd3hUVRPA4d+EAKFK7yioSA+hoxQBC4pIUVQQKYKgKCKon2DHjr1iQVCqIkXsHUEQFaVJEQWUKJEWekBKyvn+mAUjpOwmW5N5nydPNnfv3T1XzE5OmTninMMYY4zxRVSoG2CMMSbyWPAwxhjjMwsexhhjfGbBwxhjjM8seBhjjPGZBQ9jjDE+iw51A4KlXLlyrkaNGqFuhjHGRIxly5btdM6Vz+i5fBM8atSowdKlS0PdDGOMiRgi8mdmz9mwlTHGGJ9Z8DDGGOMzCx7GGGN8lm/mPIwxuZecnExCQgKHDx8OdVOMH8XExFCtWjUKFizo9TUWPIwxXktISKBEiRLUqFEDEQl1c4wfOOfYtWsXCQkJ1KxZ0+vrbNjKGOO1w4cPU7ZsWQsceYiIULZsWZ97k9bzyEZiIvzwAxQpAjExUKIElC4NlSpBoUKhbp0xwWeBI+/Jyb+pBY9s/PQTdO168vF33oGLL9bA8thjULMm1KmjXw0aQI0aYL9jxvifiHDNNdcwdepUAFJSUqhcuTItW7bko48+CnHr8g8LHtmIjYWnnwbn4OhR+OcfSEqC5GRYvBiWL4dt22DlStiz59/rFiyANm1gwwbYvRuaNwcf5qKMMZkoVqwYa9as4dChQxQpUoQvv/ySqlWrhrpZ+Y4Fj2yULAn160O5chk/36mTfqWkwK5d8PvvsH497NsHX34JEyfC7NlQvDh06AA9e8Kll+rQlzEmZy6++GI+/vhjevbsydtvv03v3r1ZtGgRAAcPHuTmm29m9erVpKSkMGbMGLp160Z8fDx9+/bl4MGDALz00kucc845LFiwgDFjxlCuXDnWrFlD06ZNmTZtmg3PZSNowUNEYoCFQGHP+852zt0vImWAd4AaQDxwpXNuj+eaO4FBQCow3Dn3ued4U2ASUAT4BLjFhXg/3ehoqFhRv845R485BwMHQt26sHQpfP89fPghVK4MmzZB4cJ6jv0/aiLRiBHa4/anuDh47rnsz+vVqxcPPvggXbp0YdWqVQwcOPB48HjkkUfo2LEjb7zxBnv37qVFixacf/75VKhQgS+//JKYmBg2bNhA7969j5csWrFiBWvXrqVKlSq0bt2axYsX06ZNG//eXB4TzJ7HEaCjc+6AiBQEvhWRT4HLgHnOubEiMhoYDYwSkXpAL6A+UAX4SkTOcs6lAq8AQ4Af0OBxEfBpEO/FKyJQoQJ066ZfaWmwbBkkJMD8+VC+PFx/PZx7LgwfDqedFuoWGxMZYmNjiY+P5+2336Zz587/ee6LL77ggw8+4KmnngJ0hdhff/1FlSpVGDZsGCtXrqRAgQKsX7/++DUtWrSgWrVqAMTFxREfH2/BIxtBCx6ensEBz48FPV8O6Aa09xyfDCwARnmOz3DOHQE2ichGoIWIxAMlnXPfA4jIFKA7YRg8ThQVpXMfzZtrj2PLFl3B9fzz+nX55XDHHdC0aahbakz2vOkhBFLXrl25/fbbWbBgAbt27Tp+3DnHnDlzqF279n/OHzNmDBUrVuTnn38mLS2NmJiY488VLlz4+OMCBQqQkpIS+BuIcEHN8xCRAiKyEtgBfOmcWwJUdM5tBfB8r+A5vSqwOd3lCZ5jVT2PTzye0fsNEZGlIrI0MTHRr/eSWyJQpYoGjXffhR494KOPoFkz+OSTULfOmPA3cOBA7rvvPho2bPif4506deLFF1/k2Ej2ihUrANi3bx+VK1cmKiqKqVOnkpqaGvQ25yVBDR7OuVTnXBxQDe1FNMji9IxmAlwWxzN6v/HOuWbOuWbly2dYkj4sVK0Ko0frfMiwYdor+fVXmDNHJ+CNMSerVq0at9xyy0nH7733XpKTk4mNjaVBgwbce++9ANx4441MnjyZVq1asX79eooVKxbsJucpEqp5ZhG5HzgIDAbaO+e2ikhlYIFzrrZnshzn3GOe8z8HxqCT6vOdc3U8x3t7rr8+q/dr1qyZy8l+Hvv360R3ZqutAiEtDXbuhAEDdPnvrbfCPffoii1jQmndunXUrVs31M0wAZDRv62ILHPONcvo/KD1PESkvIiU8jwuApwP/Ap8APT3nNYfeN/z+AOgl4gUFpGaQC3gR8/QVpKItBJdS9cv3TV5QlSUTrRPnAjt2sHjj8OZZ8KsWdorMcaYUAvmsFVlYL6IrAJ+Quc8PgLGAheIyAbgAs/POOfWAjOBX4DPgJs8K60AhgITgI3A70TAZHlOVK6sgeO117TXceWVmphojDGhFszVVquAxhkc3wWcl8k1jwCPZHB8KZDVfEme0rQpTJ8OX3+t2e3x8TqcFRdnOSLGmNCwqroRIjoaLrwQypSBzz/X5b6XXgo7doS6ZcaY/MiCR4SJjoYmTeCGG+CLL7R0yscfh7pVxpj8xoJHBIqKgmuvhUmTtER8ly7wv/+FulXGmPzEgkcEq10bpk7V4LFjh1bvNSa/mzVrFvXr1ycqKgpfl+c/+uijmT43ZsyY4yVPslI8h2vqt2zZQs+ePbM8Jz4+nrfeeuv4z0uXLmX48OE5er/csuAR4WJiYMwYGDxY9xaZPl2Hs4zJ6xYsWMCAAQNOOt6gQQPeffdd2rVr5/NrZhU8Aq1KlSrMnj07y3NODB7NmjXjhRdeCHTTMmTBI48oUgTKloUnntBNqh591HJCTP5Ut27dk+panWjr1q20a9eOuLg4GjRowKJFixg9ejSHDh0iLi6OPn36AFqht3bt2px//vn89ttvGb7Wpk2bOPvss2nevPnxbPZjnnzySZo3b05sbCz3338/AKNGjeLll18+fs6YMWN4+umniY+Pp0EDXUQaHx9P27ZtadKkCU2aNOG7774DYPTo0SxatIi4uDieffZZFixYQJcuXQDYvXs33bt3JzY2llatWrFq1arjrz9w4EDat2/P6aef7rdgY/t55CHR0fDSS3DvvXD33VoGfto0KFo01C0zeVX79icfu/JKuPFG3TjthIK3gFZOGDBAqyicOEqzYIH/25iRt956i06dOnH33XeTmprKP//8Q9u2bXnppZdY6akzv2zZMmbMmMGKFStISUmhSZMmNM2gauktt9zC0KFD6devH+PGjTt+/IsvvmDDhg38+OOPOOfo2rUrCxcupFevXowYMYIbb7wRgJkzZ/LZZ5+RlpZ2/NrMysePHTuWp5566viOiQvS/Qe7//77ady4Me+99x5ff/01/fr1O34vv/76K/PnzycpKYnatWszdOhQCuZydzoLHnlM0aLw1FOanf7aa9CqFXzzjW0+ZfKOli1bcuTIEQ4cOMDu3buJi4sD4PHHH6dTp05evUbz5s0ZOHAgycnJdO/e/fhrpLdo0SJ69OhBUc9fX10z2o8aWLx4MXPmzAGgb9++jBo1CtDg8cUXX9C4saa3HThwgA0bNjBo0CB27NjBli1bSExMpHTp0px66qnEx8cff83k5ORMy8dn5ttvvz3ejo4dO7Jr1y727dsHwCWXXELhwoUpXLgwFSpUYPv27cdL0OeUBY88SASuu05Lmnzxhe5wWKqUJRQa/8uqp1C0aNbPlyuXs57GkiVLPO+9gEmTJjFp0iSfX6Ndu3YsXLiQjz/+mL59+/K///2Pfv36nXSet7sJZnSec44777yT668/uexez549mT17Ntu2baNXr14nPf/ss89mWj4+MxnVKTzWrkCUnLc5jzysfXt46CHdFvfTT+Gdd0LdImPCw59//kmFChUYPHgwgwYNYvny5QAULFiQ5ORkQAPM3LlzOXToEElJSXz44YcZvlbr1q2ZMWMGANOnTz9+vFOnTrzxxhscOKDbGP3999/s8GT19urVixkzZjB79uwMV1hlVj6+RIkSJCUlZdiOdu3aHX//BQsWUK5cOUqWLOnzfxtvWfDI4woU0K1xX3wRevXSlVk2kW7ysrlz51KtWjW+//57LrnkkgyHshYsWEBcXByNGzdmzpw5x0u7DxkyhNjYWPr06UOTJk246qqriIuL4/LLL6dt27YZvt/zzz/PuHHjaN68+fFhIoALL7yQq6++mrPPPpuGDRvSs2fP4x/89evXJykpiapVq1K5cuWTXjOz8vGxsbFER0fTqFEjnn322f9cM2bMGJYuXUpsbCyjR49m8uTJOfsP6KWQlWQPtkgqyR4IR4/CfffBV19B796aYFioUKhbZSKNlWTPu3wtyW5zHvlEoULw2GNQvTq8+Sb8/Td88AGcckqoW2aMiUQWPPIREbjpJt3+dvZs2LbNgocxJmcseORDPXro+vuNG3U4q0ABqFcv1K0yxkQSmzDPpwoX1t0Kb7tNc0G+/jrULTKRIr/Mk+YnOfk3teCRj0VFwfDhmkB40UWQrmSOMRmKiYlh165dFkDyEOccu3bt8iqXJD0btsrnKlfWCfThw+Gaa2D7dhg5MtStMuGqWrVqJCQkkJiYGOqmGD+KiYnxOePcgofhlFO0lMmoUZpUeMUVkMvKBSaPKliwIDVr1gx1M0wYsOBhAC3t/swzOon+22+6yVSxYlps0RhjTmRzHua4AgV0g6lChWDIEN1k6p9/Qt0qY0w4suBhTlK0KJx6qhZVbN/edig0xpzMgofJUK9e8MgjsGIFnH02JCSEukXGmHBiwcNk6sIL4fnnNXC0bg1HjoS6RcaYcBG04CEi1UVkvoisE5G1InKL5/gYEflbRFZ6vjqnu+ZOEdkoIr+JSKd0x5uKyGrPcy+It0X3jc9atoTx43UZ7x9/QLrNzowx+Vgw19KkALc555aLSAlgmYh86XnuWefcU+lPFpF6QC+gPlAF+EpEznLOpQKvAEOAH4BPgIuAT4N0H/lOnTo6kb5pE3z0EdStq5Ppxpj8K2g9D+fcVufccs/jJGAdUDWLS7oBM5xzR5xzm4CNQAsRqQyUdM597zTNdQrQPbCtNyJQvrxub9u9uyYWGmPyr5DMeYhIDaAxsMRzaJiIrBKRN0Tk2G7bVYHN6S5L8Byr6nl84vGM3meIiCwVkaWWEZt7UVGaTNiwIQwcCGPHhrpFxphQCXoKmIgUB+YAI5xz+0XkFeAhwHm+Pw0MBDKax3BZHD/5oHPjgfGgm0H52tbUVDjnHJ0oLlIEChbUgoJFiuhy1hIlNDu7ZEkoU0b/Mi9XTgsOFizo67tFhuLF4eWXYfRouPNO2LoVnnvO9kc3Jr8JavAQkYJo4JjunHsXwDm3Pd3zrwMfeX5MAKqnu7wasMVzvFoGx/0uNRVq1oQdO/TDMTlZdxbcvh0OHoQDB/T7iUQ0gFStqvkSNWvC6afDGWdogIn0D9pCheDJJ3VzqW3bIClJA6gxJv8I2ja0nhVRk4HdzrkR6Y5Xds5t9TweCbR0zvUSkfrAW0ALdMJ8HlDLOZcqIj8BN6PDXp8ALzrnPsnq/QO1DW1KCuzbp4l0iYkaaLZv1536EhJg82bYs+ff88uW1QnoevWgUSOIjdVeTCRyTjPQDx3SHliDBtozMcbkDeGyDW1roC+wWkRWeo7dBfQWkTh06CkeuB7AObdWRGYCv6ArtW7yrLQCGApMAoqgq6xCttIqOloDQtmyUKtWxufs2aPLXDdsgF9/hV9+0YCUlvZvSZDmzXVZbKNGOjQWCUS0/lVKiq6+ql5ds9LLlw91y4wxgRa0nkeoBarnkVMHDsCaNbByJSxbBqtW6TBZTIwGkXPPhbZtda+NSPD113DPPbrF7bx5OkxnjIlsWfU8LHhkI1DB40QHD8Ly5fDdd7BwoQ59RUVBs2ZwwQXQoQOUKhXYNuTW8uW6M2HhwvD559CkSahbZIzJDQsehH/wSM85LYs+f74OA23erMNbbdrApZfq93Atlf777zBsmAaOjz/WdhtjIpMFDyIreKR3LJB8+ql+7d6ty4IvvRQuu0xXdIWbHTvg8GFdaVanjs6LGGMiT1bBwwojhjkR/QAeORI++UQ3bGrYEKZO1Uzv4cNh8eLwqjlVoYIGjoQEHXZ76CENgsaYvCNMBz9MRqKjoV07/dq+Hd57D+bOhVtu0VySXr3gkkt00j0cVKigE+j33Qd//QWvvmrDWMbkFdbziFAVK8L118OHH8KDD2ri3mOP6XDWG29o4l6oFSqkJUx694YJE6BrV9uZ0Ji8woJHhCtYEDp3hmnT9C/7unW1fEiXLjBuHOzdG9r2RUXpCqyRI3XOpn//0LbHGOMfNmyVR4jo/EKzZpqIOGmSfs2YAVdeCX37hnapb58+2lsqXx7+/BNOOy10bTHG5J71PPKgOnV0uGjGDE00nDJFh4xee02TE0Pl/POhfn1NiOzTRyf6jTGRyYJHHnbGGfDoo/DOO7oP+euvQ7duGkwOHw5Nm6KjdS5kwQI47zyYOTM07TDG5I4Fj3zg9NPh8cd1XqR+fXjhBbj8cp1sT03N/np/K1cOJk/WdvXqpRV6bSmvMZHFgkc+UqeOBo5XX9VCjg88oHuTL1mS/bX+Vrq09oTatIE77tAvY0zksOCRDzVrpn/5P/qoLp296SYYMUL3KA+mmBh4+mntfVSsGPqVYcYY71l5kmyEujxJoB09qnMiEyfqvhxXXAFDhgR/c6fDh3VflI0boWdPTS40xoSWlScxmSpUSJfxvvce9OihE9g9esCsWcGdDzmWFT96NDRtqqXqjTHhy4KHATQHZPRomD4dzjxTJ9j79g3uh3jFijB+vG7327q1TugbY8KTBQ/zH7Vq6YT62LE6jHTddXDvvbBzZ3Dev25dXUpcubIWfnzhheC8rzHGNxY8zElENKFv9mwYNAi++kqX9r71lm45G2gVK8Kbb0KLFhAfb/WwjAlHNmGejbw+Ye6NzZs1F+O773RIa/RoiIsL/PumpekOi8nJ+vicc6BEicC/rzFG2YS5yZXq1eH55+GJJ7Ra73XXaSXfQC+tjYrSYJGaqj2fli21tLsxJvQseBiviEDHjroKq29f3WL28svh/fcDnx1evjw88ogWVGzaFH74IbDvZ4zJngUP45OiRXXzqenTdQOqhx7SvJA//gjs+7Zpo/uUFCgA7dvr/IsxJnQseJgcOfNMXVZ7zz3w++9w9dW6j8iRI4F9z6lT9fusWaEr7miMsQnzbNmEefZ274Znn9XNnqpXh7vugubNA/d+R4/qv0uhQlCmDJx1FhQpErj3Mya/CosJcxGpLiLzRWSdiKwVkVs8x8uIyJcissHzvXS6a+4UkY0i8puIdEp3vKmIrPY894KISLDuw5ysTBkdvnrpJZ3/GDoUxowJ3IR6oUIazFNT4eKLNaFw69bAvJcxJmPBHLZKAW5zztUFWgE3iUg9YDQwzzlXC5jn+RnPc72A+sBFwMsiUsDzWq8AQ4Banq+LgngfJhOtWukGVNdeq72QK66Azz4L3IR66dI6/7JuHTRpAsuWBeZ9jDEnC1rwcM5tdc4t9zxOAtYBVYFuwGTPaZOB7p7H3YAZzrkjzrlNwEaghYhUBko65753OuY2Jd01JsRiYrRK77RpWtzwnntg+HDYsiUw73f++VraPTVVJ9VtcyljgiMkE+YiUgNoDCwBKjrntoIGGKCC57SqwOZ0lyV4jlX1PD7xuAkjtWrp6qjbb9f6WFdeqSu0AlFssW5dnUg//XQtq2IZ6cYEXtCDh4gUB+YAI5xz+7M6NYNjLovjGb3XEBFZKiJLExMTfW+syZUCBXSvjlmzND/j2Wd1SGvjRv+/V7lyMGGC1uH64Qcta3LwoP/fxxijgho8RKQgGjimO+fe9Rze7hmKwvN9h+d4AlA93eXVgC2e49UyOH4S59x451wz51yz8uXL++9GjE8qVYLnnoOHH9bhqz594JVXdNWUPxUqBKeeqvuk9+ihczCWkW5MYARztZUAE4F1zrln0j31AdDf87g/8H66471EpLCI1EQnxn/0DG0liUgrz2v2S3eNCVMicNFFWmyxUyfdfKpPH/j5Z/+/V7FimgX/xx86kf7tt/5/D2Pyu2D2PFoDfYGOIrLS89UZGAtcICIbgAs8P+OcWwvMBH4BPgNucs4dGzEfCkxAJ9F/Bz4N4n2YXChVSutivfii7lx43XVaM8vfQ0znnquVeQsXhg4dNKHRGOM/liSYDUsSDJyDBzUrfeZMLcN+zz061ORP+/frpP3WrdrLsdFLY7wXFkmCxpyoWDH43/90ojsmBoYNgwce0A98fylZUgPUM8/oqq8dOzQj3hiTOxY8TMg1aqTLeK+9Fj75RJML58/33+tHR+vS4aJFYfBg3Ytk1Sr/vb4x+ZEFj2zs3AlLlsDixboEdOlSHf5IStLnDx+GXbs0tyAtLbRtjWSFC2ty4eTJULas9khGj/ZvLyEmBrp21eGyVq10CbExJmdsziMbc+fCZZedfPzhh3Wb1MWLdajlmCJF9C/cxx+Hhg1h+XKYM0c3NSpZEk45Rb86dNCfDx7UoFO8uK5IMrrV7ZQpmjletKgGkk6d/PffZ8cOuPVW+PVXGDUKHn1UN54yxvxXVnMeFjyysXu39jaSkzU7OjlZexv16+vKod9/h4ULNQgcOKA9koMHoXdvnZydPx8mTdJjSUn/7gH++utagfbdd3UlUMGCWqupTBmdnB8zRl9/wwbYtk1fq1IlDTz5Jchs2qQrs1avhrZt4c47oUKF7K/zxtGj+toLFuiCiGBsq2tMpMlV8BCRMl68R5pzbm8O2hY0OQ0e/pCa+m/g2bcPEhM1GIhoMb9Fi2D7dh0iS0zUYbCnntJhltdeg/fe+/e1ChfWlUkzZmhS3E8/afXa6tWhWjXtweQlqanwzjswbpzOXYwcCd26+SeAOqfB+ZRTdN6lQAEN0MYYldvgcRjN4M7q17WAc+7UnDcx8EIZPHzlnPZQkpM1I3vjRti8WUtu/PUX7NmjxQbT0nT4bPHif68tUwbq1dOMbtBEuZIldR4hknssmzdr2ffly3W48J57tPCiP6Sk6M6EEydqQcfu3f3zusZEutwGjxXOuca5PSfUIil4eCs5WXspGzbAb79pafKNG/Wv9WHD9JxbboH163UI7KyzoE4drTPVunVIm54jaWk6zPfCCxpgb74Zevb0z3zF1q06D7JhA9x9tw5p2TyIye9yGzzqOufWZXNOjHMurDcFzYvBIyvH5ma+/lrnbFavhrVrtffSqpX+5R4TA08+CaedpsM29evrsXC3bZv2uH74QcuP3HuvDtvl1pEjGjQ+/1wn6GfM0KBrTH6V2+DxB7AAGOOci9gyc/kteGQmKUk/fAsX1qGgq6/+t3hgdDQ0aADXXAPt24e0mdlyDj78UJP/kpN198LevXXeIrevO3267oo4cSL06+ef9hoTiXIbPAoB1wO3ogUIH3HORVx9cwseGXMOEhLgm290Zdh332kuRPv2Ook/YQKcfbZutFStWrYvF3Q7dsBjj+mig9hYuO8+qFEj96+bkKAr4GrU0O+1auX+NY2JNH5ZqisiMcAw4EZgGvCkZ0fAiGDBw3uHD2sP5aOPdEjo77/1+GmnQbt2WrG2jDdr8ILEOd3u9qmntNjikCHae4qOzv3rfvcd3HabziE9+WTuX9OYSOKX2lbOucPOuaeAhsBhYLmI3O6nNpowEhOjS4mvvVaHtlauhPvv1xyLmTN1tVdSkmbeL10amN0BfSECF1+sbWvTRoecBg7M/aZTIrqyq3NnXb3WsaP2dIwxvvU8agB1gNpAXaAF0MA5VyhgrfMj63n4x759OrG8ZYt+QK9Yob2Q887TD/CGDUO/JPirrzTDPykJBg3SIJjbHsPcudrzKFNGH/u7+q8x4ShXPQ8RWSUiu4H3gAFAKeBrdOOmPJaSZrJzyinaA4mL0+zsCRN0xdP772swueMOHe4JpfPP17pV552nSZb9+mkpktzo0UOrAjinuSDJyf5pqzGRypsJ8zOAP1yE1zGxnkdg7dqliXZpaVC7tv7V//jjOuRzwQVaoyoUFizQCfW9e6F/f918qlAu+spJSTonVLy4ruxq1Ch092ZMoPlrwrwWMBo45Jwb5sf2BYUFj+A5fFhXbl1/vc6ZFCkCF16oBSbr1Qv+sNb+/bqk96OP4PTTdUVWgwa5e83ERF0aXKWKlo+x1VgmL/LXZlBTgdlAO8+LNhCRKX5on8ljYmJ0/uPPP+GLL3Tv8s8+07/8czuJnRMlS2qhyeef1wKVAwfq48O5SGstX16D0ObNOmw3Z47fmmtMRPAleEQ55z4FUgGcc2uAXP79ZvIyER2yevddXe47caLmTezYoRnuTzyhASZYWrfWIovdusHUqZoguXJlzl+vXTud/6hSRcukjBwZ+pVnxgSLL8Fji4jUBByAiAhQJCCtMnlO2bL6F3+rVvohHhOjQeXyy3UTqG+/Dc5mWsWLa+2ql1/WgoiDB+sqqn/+ydnrVa2qJfe7dtUKyXv3+rO1xoQvX5fqTgDqAXcDF6G9kSsC1jo/sjmP8JOQoMNHkyZpOfrrr9cP82D55x/NCZk5U3sP99yjeR05deCADosVKaI9kPPP919bjQkFv20GJSLRQHegEbAVeCPcCyIeY8EjfB09qtvPVq2qQ12rVunS2quu0rmFQFuxQsu9//WXlmMfMSLn+6KkpurOh4sWaXb+ffflvt6WMaFiOwliwSNSHDigOwaOG6cfup06aZ7GGWcE9n0PH9ackOnTdSfHO+/U3Qtz4tAhnaCfN09rhL3zjv92QDQmmHKbJLjcH+cY443ixeHFF2HNGp3Q/uor7YE89FBg3zcmRvc+efNN3W9+5EgdxsrJHEaRIjB2rCZMLl6sWfdr1/q9ycaElDdJgoeADVmdApxiOwmaQNi2DZ5+WoezOnTQUvKrV8M55wRus6bkZHjjDQ0kxYvrMNSFF+YsP2XdOnjlFZ2Ub9YsdwmKxgRbbkuyn+bFe6Q65xKyeZ03gC7ADudcA8+xMcBg4FiJ97ucc594nrsTGIQuDR7unPvcc7wpMAld6fUJcIs32e8WPCJbWppmsb/4ovZCatbUulXnnx+4SrcbN+rmUL/8osty77wz53Mwu3ZpUJozR3slNoxlIkGuhq2cc3968ZVl4PCYhK7QOtGzzrk4z9exwFEP6AXU91zzsogcm3Z8BRgC1PJ8ZfSaJo+JitIP7nvu0b/kQR9fdpku+Q1EfsWZZ2oPZPhwrSB8xRWaTZ6TacKyZXWL22nTdBhr/ny/N9eYoAraLs3OuYXAbi9P7wbMcM4dcc5tAjYCLUSkMlDSOfe9p7cxBV39ZfKJQoXghhu0VzBtGpQurdvF7t+vH+r+Xv8RHa0T9jNm6B7wDz8MN96oy4x91batBqNChbTHdN99llRoIlfQgkcWhnkq974hIqU9x6oCm9Odk+A5VtXz+MTjGRKRISKyVESWJiZG3OaHJgtRUdCnj85/zJunw0B//KHVb6dO1RVP/lS9Orz6qg5d/fKLTuJPm+b7h3/dulpAsmNHHX4bPty/7TQmWLwOHqKuEZH7PD+fKiK5SKkCdAjqDCAOzRt5+tjbZXCuy+J4hpxz451zzZxzzcoHI2HABJ2IljyJjdUP5mrVNPGwSxed8M5p5nhGoqI0I37mTE0mfO453StkQ1bLSTJQtKjOe9x9NzRvrkHv6FH/tdOYYPCl5/EycDbQ2/NzEjAuN2/unNvunEt1zqUBr6MbTIH2KKqnO7UasMVzvFoGx42hYUP4/nvtiTRsqLkil14Ku70dLPVSxYpapfeRR2DrVt3y9pVXdJMsX/TooVWGf/1V9x65+WbfX8OYUPEleLR0zt2EbkGLc24PkKuFh545jGN6AGs8jz8AeolIYU89rVrAj865rUCSiLTy1NbqB7yfmzaYvKdjR83wXrBAP9hTUjSAfPONlg/xBxFNYJw1S6sGT5yoeSkrVvj2OgUK6GR6uXJaKqV5c1i/3j9tNCaQfAkeyZ4VT8cKI5YHvC5lJyJvA98DtUUkQUQGAU+IyGoRWQV0AEYCOOfWAjOBX4DPgJucc8dGl4eiNbY2Ar8Dn/pwDyYfOfdc/UBu314nqe+4Q3si/hzOKlUKHnhAlxAnJ2ttrrFjNVPeW9HRunJs7FitMty4sQajfFL8wUQoXwoj9gGuApoAk4GewD3OuVmBa57/WJ6HWbhQ600tXKjb6fbtqxPfRfxUG/rQIZ1Uf/tt7U2MGqWByxfbtsFdd2kJ+9WroXLl7K8xJlBymyQY7ZxL8TyuA5yHTlzPc86t83djA8WChznmm290snrJEi3IWKuWf7PV167V+ZD16zUr/o47fEsuTE3Vpchly+qWvomJOpxlTLDlNngsd841CUjLgsiChznRunU6NBQfD88+q/uRX3aZlkDJrZQUXcr7+us6LHXzzfravgSplBQYP15L1o8ercUWCxbMfduM8VZut6EN8o7TxgRH3bq62ql5c9i3T2todesGs2fr/EVuREfDgAE6hFWvns5nXHedLsv15TX69dOVWI8+CmefDb//nrt2GeMv3vQ8EoBnMnveOZfpc+HEeh4mOx9/rBPXK1dCpUrw1FNQp07uX9c5fe1nn9XVXv37666KvvRwPv5Yt+0F7Yn07Jn7dhmTndz2PAoAxYESmXwZkydccgksX661sk4/Xcu079unk9i5KSMiokmLs2drdd6JE6F3b/jpJ9/a9vbbOgeyf79vq7mMCQSb8zAmE/v3w2+/aVZ5VBQMHao5JLmdXF+yBB57TOtjXXKJ7lxYunS2lx134ICu7Pr4Y+jcGS6+OHftMSYzNudhTA6ULAlNm2oNqqgonbS++mpd6pubHIyWLbXQ4sCB8PnnOgT1wQfev2bx4jrk9eGHGjxuuMG/ZViM8YY3weO8gLfCmDAVFaVzFBs2aA7H4cNw6636oZ8bMTFanfett3RvkgcfhOuv935CvWRJvbZnT90+NzYWfvwxd20yxhe2h7kxPjh6VMuq16unw0fLlkGVKhAXl/PXTEvTnseLL+pr9uunG13FxHh3/Xffae/oyBENPmXL5rwtxqSXqzyPvMKCh/En52Dnzn+Xz7ZsCTfdpEElp/bs0YrAH32kAemOO6BNG++uTUqCpUt1mC02VudratbMeVuMgdzPeRhjTiCiWeM//6ybOv36q/YYRo7UpMOcKF1aEwFfe03nNEaM0P3Tt23L/toSJTSbvVAh3bCqTh1d2mubTZlAseBhTC4UK6aFEePj9YN++XKdHzl6NOeT6k2b6nzGsGE6JHXFFTBlimacZycmRldfNW+utbVat/Z9vxFjvGHDVsb40Z49uoz2t9+0ou+RIzBkCFTNdL/LrG3Zopnv33yjuSejRmlwyY5z8P77mpiYmqp7mwwcmLM2mPzLhq2MCZLSpXW+ol07rYj7xRda0+qRR2D7dt9fr0oVDR7PPKMrva6/XisD79yZ9XUi0L07vPOOboy1a5cmPBrjL9bzMCaA/vxTP+zffls/0O+6S/cUyYnDh3UvkilTdG5j6FBdqhsdnfV1zmkeyIEDMH++btV7883+rSRs8ibreRgTIqedph/2v/yiPYFTT9Vew99/w969vr1WTIwGjBkztDfx1FO6J8nKlVlfJ6JzM2XL6g6LI0ZA27Za9t2YnLKehzFBdPQobN6siYcrVuhmVP366WopXzinvYhnntHVWJ07w/Dhup1tdtfNmqVzIKmpmh8ycqRuh2vMiSzPAwseJrysWAF33qmZ6sWLQ58+WvqkWDHfXufQIU1anDZNh7KGDNGAlN1Q1rZtmtW+bBl8+y20apXzezF5lwUPLHiY8LRkic6DfP21Bo8RI3I2F/HXXzqM9d13mhx4++2auJgV52DNGqhQQVdyrVun1X9twylzjAUPLHiY8LZokQ4d7dunH+hbt2o1X29LlIAGg0WLdHXW339r0uDIkbpiKytpaVoe/qaboEEDnZRvluHHhclvbMLcmDDXti2ccw6cey6sWqX5GV276lLbI0e8ew0RXSI8c6ZOrH//vSYYHivomJmoKO2lPPKI5pW0bKnFH61Sr8mK9TyMCUOffaa7Gi5bppPgw4frpLgvtm2DF17QXJOKFeGWW+CCCzTIZGb/fnjySfj0U62RtXy5TabnZ9bzMCbCXHSRDiV9+CFUr67DWHv36t7q3u6vXqmS7n3++utwyik6tzJ4sM5tZKZkSV2B9eKLWuZk1SrdOnfPHr/clslDrOdhTJhzTnsE8fEwYYIutb3uOk02zG5V1TGpqVr2/eWXNQhdeqnuJ5Ld0t69e7XK75Qpuiy4X7+sey4mbwmLnoeIvCEiO0RkTbpjZUTkSxHZ4PleOt1zd4rIRhH5TUQ6pTveVERWe557QcT+VzZ5m4j2HBo10t5A+fI6P9Gjh9av8qZgYoECev7cubos+JNPdEJ+0qSs51RKldLJ8woVYMAAOO88Sy40KpjDVpOAi044NhqY55yrBczz/IyI1AN6AfU917wsIsdGXl8BhgC1PF8nvqYxeVbnzjqUNHOm1tF66CG47TbftrAdMUKvb9pUizdeeSV89VXmr1GnjvY8RozQpcUNGmgPxuRvQQsezrmFwO4TDncDJnseTwa6pzs+wzl3xDm3CdgItBCRykBJ59z3TsfbpqS7xph8QURXUa1Zo0FgwABITNTM9ffe864ncuqpOgw1bpwuBx49WudDfvkl4/OjouCaa/T9WrTQYbRdu3K3l7uJbKGeMK/onNsK4PlewXO8KrA53XkJnmNVPY9PPJ4hERkiIktFZGliYqJfG25MqB0LItddp/t2/PCDbgTVrRvMmePdxHrLljB9uma7//mnzmncd1/mG1BVqqTLiNu21fe7/nqtr2W/XvlPqINHZjKax3BZHM+Qc268c66Zc65Z+fLl/dY4Y8JNyZLw2GM6mV6+vD7u2hVmz86+dxAdrfMfc+dqL+arr/Tnl1/WlVYZiYnR5b+HD2uhxlq1NJ8kLc3vt2bCVKiDx3bPUBSe7zs8xxOA6unOqwZs8RyvlsFxY/I9ES3RvmqV9jwqV9biifv2aQDJbkva4sV198LZs6F9e62Z1aOHvlZGQ2EimjsydaoOgw0dqj2ZtWsDcnsmzIQ6eHwA9Pc87g+8n+54LxEpLCI10YnxHz1DW0ki0sqzyqpfumuMMeiH+mWXaan2uXP/3Wu9SxctoHjoUNbXV6miq7kmTdKS8o89pnW3Fi3KuBdTq5YGmrvugk2bdNtbb7PiTeQKWp6HiLwNtAfKAduB+4H3gJnAqcBfwBXOud2e8+8GBgIpwAjn3Kee483QlVtFgE+Bm50XN2F5HiY/+/FH3QDqxx912e811+gqq+yq+DqnW+C+8IIWX2zaVHsb9eplfP7Ro7rpFOhwVps2Wn7eNp6KTFYYEQsexoDOZ4wZA4sXQ5kymidSpEj216WkaC9m/HjNNr/wQk0yrFYt4/OTkvT5det0ddarr0Ljxn69FRMEFjyw4GFMeosWaRn4Fi00gfDrrzUBsEyZrK87cEDnOKZP14DSsycMGqQ5JydKS9P5kldf1WBy3XUwdmzG55rwZMEDCx7GZOTQIVi4UDPXCxXSZb79++tKqqwkJmov5FjPpW9fzVzPqBezb5/Wypo3T4fAGjWyYaxIYcEDCx7GZGX1anjgAU0yFNFM9ptvzr6XsGmTLumdP1/3SB88WPdqz6jm1t69OidSvLjW6LruOs0XMeErLGpbGWPCV8OGukT3l1+gd2/dkTApST/ss9rXo2ZNLeH+xhu6XHfsWB3K+uyzk3M+SpXSGlnbtmnJ93btdNJ+8+YMX9qEOet5GGNOcvAg7N4Nv/0GAwfqxPigQRAXl/k1zulE/Lhxulz3rLN00rx165Mr8f7zD7z2miY1RkXBqFFaIsWXnRNN4NmwFRY8jMmJf/6BBx/USe99+3SDqIEDMw4Ix6Sl6QZUr7yi2+HGxekWtxmttvrrLy13snGjljupXt1KvocTCx5Y8DAmNw4c0Env55+H7ds1ibBTp6yvSUnROZQJE2DnTt1md+hQqFv35HMTEzXolCihweSuu2wf9XBgwQMLHsb4w9GjWp69Xj2dAJ83T3sK3btnni9y+LBW4508WXsvHTpoQcUzzzz53OXL4Y479LWvvhoefzzzXBITeBY8sOBhjL/t26dlUL7+WgszXnklXHVV5iu0DhzQ/JC33tLhsE6dYMgQnWhPLylJh8nefVdzUG6/XSv9FiwY+Hsy/2XBAwsexgTKV1/pXunz50Phwlq+5MorMz9/715NNHznHS0b37mzLtutesLmCn/9Bc89pxP3X36puSc2HxJcFjyw4GFMoK1YoUGkRQtd+nvkiAaKBg0yPn/XLi2+OGeOVvzt2lVXdFWq9N/z9u3T10pN1bmWBx+ECy4I9N0YsOABWPAwJliSkzWX47bbdCluo0aatd6mTcaZ5Tt2wJtv6uS6czp/cu21J2e5//ST1uXavl2Dx9NPa5AygWPBAwsexgTb3r26QmvcOP3Ar15dg0LXrhmfv22bBpH33/93En7AgP8GkSNHdMhr2jTNRenfHyZOtHIngWLBAwsexoRKcrKutHrmGZ3XGDVKy8IfOKAT7SfaulUz1j/4QINC9+4aJNIPZ+3Zo5PqBw5osmHVqjqsVbhw0G4rX7DggQUPY0LNOR2i2rlTV2jddhtcdJEWVMxo2e6xIPLhh/pzt27ac0kfRJKTtYeTkKAZ6nffrVntFkT8w2pbGWNCTkSHoOrX1/1ArrhCM9F79dLkwcWL/1sPq3JlDQZz52rgeP997YU8/LAGC9Dlu+XLQ9GiOix2661aFmXqVNtPPdCs52GMCZnt2zWjfMIELQ8/e7YWT3Tu5GW527bp8Nf77+sQ1cUXa0/ktNP+PWfhQnjpJfjjD2jeXEue2HxIztmwFRY8jAlnR45oz6NkSR3aGj1aa2FdeeXJS3cTEzXL/d13ddjq/PO13taxoa+0NB3q2rEDbrgBzjgDfv8966KOJmMWPLDgYUyk+Ptv7VHMm6c/d+igZeIbNfpvb2T3bs1WnzlTM9bPPVeDSP36+rxzmiOyeDHcf7/2VMaO1eKOxjs252GMiRhVq+pcyLp1mnm+ZIl+//LL/55XpgwMG6a9jMGDNUmxf3+t4Hvs78RSpTT4DByoQ1pxcTrHsnFjsO8q77GehzEmrCUl6ZxIs2b6+PPP9XvPnv/NATl4UOdMpk/XXklsrOaJtG2rPZa9e+H11zUZsVw53XMks2KORtmwFRY8jMkL9u/XXsasWRoQ2rfXnkTjxv8OaR0+rL2RKVN0ue8ZZ2gQueAC3R53+3bt1cTG6mT71Knag8lu3/b8yIIHFjyMyUvWrdOkw3fe0V5I9+5wzz3/PSclRXspkyfr6qsqVeCaazTDPSZGn1+wQPcOKVxYA8ioUboXu1EWPLDgYUxedOCADmkVKaKl3Xfvho8+0hySY0t409Jg0SItwrh6tc6D9Oql55xyigaWV17RQFKsmFYFvvdeSzSECAgeIhIPJAGpQIpzrpmIlAHeAWoA8cCVzrk9nvPvBAZ5zh/unPs8u/ew4GFM3paUBOPH6zLflBTN87jqKi3IGB2tq69WrtQgsnixBpzu3TXDvVIl+PVXDSKJiVpevlIlvaZAgRDfWAhFSvBo5pzbme7YE8Bu59xYERkNlHbOjRKResDbQAugCvAVcJZzLjWr97DgYUz+sHmzFmScNEkDQeXKWva9UKF/z9m4Uec6PvtMf77gAujbF2rX1nmVw4d118Sbb9YNq4YPz7gOV14XqUt1uwGTPY8nA93THZ/hnDvinNsEbEQDiTHGUL06PPGE5otMnarDU3v36v4hL78MP/6ok+gPPKDZ6lddpct4+/TRuli//KIlT1JSdJ7k3nuhRg3dS2T//lDfXfgIl57HJmAP4IDXnHPjRWSvc65UunP2OOdKi8hLwA/OuWme4xOBT51zs7N6D+t5GJN/HT6sk+zt22sAqF5dt9C99FKdA9m/XzPW335bg8yZZ+rkeqdOsHatVu796SfdYvfXX7WESn4QCT2P1s65JsDFwE0i0i6LczPaiDLDCCgiQ0RkqYgsTUxM9Ec7jTERKCZGl/Nu3ar7i5QqBc8/r1nn336rQ1IDBugS3/vv10n2MWN0ZdbKlfD445oj0qWLBqFt27Rg4759ob2vUAqL4OGc2+L5vgOYiw5DbReRygCe7zs8pycA1dNdXg3YksnrjnfONXPONStfvnygmm+MiRBFi+rQ1KpVmrneq5euytqxAz79VJMM27XTJcAvvAA1a2qhxUsu0b3aL79cJ9/nzdMkxdNO0yCzZ0+o7yz4Qj5sJSLFgCjnXJLn8ZfAg8B5wK50E+ZlnHN3iEh94C3+nTCfB9SyCXNjTE6kpuoS3+uu0w2oChaEjh11WKtJE51cnz5dJ9dTU7WGVp8+mpQ4YYJW7i1RQvNE/vc/HdrKK8J6tZWInI72NgCigbecc4+ISFlgJnAq8BdwhXNut+eau4GBQAowwjn3aXbvY8HDGJOdH37QYa25c7XcSYcO8OST+tzOnVqEcc4cHa6qW1cLNlapoiu7fvxRh8CaNNEy8CeWlI9EYR08gsWChzHGW0lJGhBSU3X57sGDuu1tt25a3fezz3RyPT5e62RdcQW0bq3FGgsXhscegzp1NOekatVQ303OWfDAgocxJmf++Ucn0ocM0VVZFSroRHqXLvDnnxpEfvhBg8ZFF2ni4fTputVudLRW+r3rLl3uG2kseGDBwxiTO4cOaaB4/XWdbBfR5b3VqulmUzNmwCef6MZWzZvDeefBzz/rRHtamk7Gd+8e6rvwjQUPLHgYY/znt990cr1FC+2ZvPgiFC+uE+1r12rV3+3bdcjqoos0d6R/f2jYEDZt0gq+DRuG+i6yZ8EDCx7GGP9zTrPXBwzQpb7JyVCrliYfFiumAebnn7WO1iWXaF7Jk09qomGXLppT0izDj+bwEAlJgsYYE3FEdGnu++9rTa1HHtGVVs88o9V6X3tNS8K3b6/nDBr0bw9l/nwd3rrwQli2LNR34rvoUDfAGGPygooVdWL8rrt0At05LRm/caMu4+3RQ4PNV1/pMNapp+rQ1ZIlmnRYt65mwkdFyJ/0FjyMMcbPWrXS72lpWp13wQKdME9LgwYNtEz8+vUaZIoX17pZs2Zp5vuKFfDww3DOOSG9hWzZnIcxxgRBfLyu1Jo+XVdkvfmmDnVNngzffac9jjPOgC1btMdywQWaL9K0aejabHMexhgTYsfKum/aBN98o3WzqlTR3Q0rVtQeyebNGjgqVdJs9WbN4L77Qt3yjFnwMMaYIBKBs87SzPWOHTWgVK6sq7KOHIHTT9e9RA4d0m1y16/XPUa2btUCjuHCgocxxoRIkSJaUHH5cp3vGDxYK/TefrtOvJcurRV+O3bUfJHTT9ehrKNHQ91yCx7GGBMWGjbU+llbtmiF3549oV49nQs5fFiDS3KyBpX69XXVVihZ8DDGmDASEwNly+rmVY89Bv36adAAKFBAv2/apBPqY8eGrp0WPIwxJkzFxuqqrL//1uW7ZctqyfdjlXonToTPP9f5kWCzpbrGGBMhUlJ0WGvLFs1inz1bkxErVNAdEN98U/NG/MWW6hpjTB4QHa2Z6a1awdChumoLdBXW7Nn685o1wWmLBQ9jjIlAHTrAunUwdarmi4Au542L090QA82ChzHGRCgRuOYazV5/8EGdZE9NheHDdQOrQLLgYYwxEa5gQbj3Xli6VPdfL1pUdzu84QbdQjcQLHgYY0weERWluxW+/joUKqQl4Rs3DkxSoQUPY4zJY3r1gm3btKjiWWfpRLu/WUl2Y4zJg0qX1mGstLTA7BFiPQ9jjMnDArW5lAUPY4wxPrPgYYwxxmcRGzxE5CIR+U1ENorI6FC3xxhj8pOIDB4iUgAYB1wM1AN6i0i90LbKGGPyj4gMHkALYKNz7g/n3FFgBtAtxG0yxph8I1KDR1Vgc7qfEzzH/kNEhojIUhFZmpiYGLTGGWNMXhepwUMyOHZSbXnn3HjnXDPnXLPy5csHoVnGGJM/RGqSYAJQPd3P1YAtWV2wbNmynSLyp4/vUw7Y6eM14Siv3AfknXux+wgvdh8ZOy2zJyJyMygRiQbWA+cBfwM/AVc759b6+X2WZrYRSiTJK/cBeede7D7Ci92H7yKy5+GcSxGRYcDnQAHgDX8HDmOMMZmLyOAB4Jz7BPgk1O0wxpj8KFInzINlfKgb4Cd55T4g79yL3Ud4sfvwUUTOeRhjjAkt63kYY4zxmQUPY4wxPrPgQfZFFkW94Hl+lYg0CUU7s+PFffTxtH+ViHwnIo1C0c7seFv0UkSai0iqiPQMZvu85c19iEh7EVkpImtF5Jtgt9FbXvy/dYqIfCgiP3vu5dpQtDMrIvKGiOwQkTWZPB8Rv+fg1b0E/nfdOZevv9Clvr8DpwOFgJ+Beiec0xn4FM1sbwUsCXW7c3gf5wClPY8vjtT7SHfe1+iKu56hbncO/z1KAb8Ap3p+rhDqdufiXu4CHvc8Lg/sBgqFuu0ntLEd0ARYk8nzYf977sO9BPx33Xoe3hVZ7AZMceoHoJSIVA52Q7OR7X04575zzu3x/PgDmpkfbrwtenkzMAfYEczG+cCb+7gaeNc59xeAcy6S78UBJUREgOJo8EgJbjOz5pxbiLYrM5Hwew5kfy/B+F234OFdkUWvCjGGmK9tHIT+lRVusr0PEakK9ABeDWK7fOXNv8dZQGkRWSAiy0SkX9Ba5xtv7uUloC5aJmg1cItzLi04zfObSPg9z4mA/K5HbJKgH3lTZNGrQowh5nUbRaQD+j9Um4C2KGe8uY/ngFHOuVT9QzcseXMf0UBTtMxOEeB7EfnBObc+0I3zkTf30glYCXQEzgC+FJFFzrn9AW6bP0XC77lPAvm7bsHDuyKLPhdiDAGv2igiscAE4GLn3K4gtc0X3txHM2CGJ3CUAzqLSIpz7r2gtNA73v5/tdM5dxA4KCILgUZo3bZw4s29XAuMdTrIvlFENgF1gB+D00S/iITfc68F+nfdhq20qGItEakpIoWAXsAHJ5zzAdDPsxqjFbDPObc12A3NRrb3ISKnAu8CfcPwr9tjsr0P51xN51wN51wNYDZwY5gFDvDu/6v3gbYiEi0iRYGWwLogt9Mb3tzLX2gPChGpCNQG/ghqK3MvEn7PvRKM3/V83/NwmRRZFJEbPM+/iq7o6QxsBP5B/8oKK17ex31AWeBlz1/tKS7MKol6eR9hz5v7cM6tE5HPgFVAGjDBOZfh0stQ8vLf5CFgkoisRod/RjnnwqrEuYi8DbQHyolIAnA/UBAi5/f8GC/uJeC/61aexBhjjM9s2MoYY4zPLHgYY4zxmQUPY4wxPrPgYYwxxmcWPIwxxvjMgocxxhifWfAwxk9EpEZmJbK9vPaQiKz08boinpLuR0WkXE7e25icsOBhjB94qsnm9vfpd+dcnC8XOOcOea6J2DIaJjJZ8DAmhzy9hXUi8jKwHK2LVEBEXvdsiPSFiBTxnHuriKzxfI3w8vVnichLIvKtiPwpIm1EZIqIrBeRiYG7M2OyZ8HDmNypje4B0Rj4E6gFjHPO1Qf2ApeLSFO01EVLdJOhwSLS2IvXbgj84ZxrA0wGJgKjgAbAZSJS2N83Y4y38n1tK2Ny6U/PxkHHbHLOrfQ8XgbUQGsMzfVUz0VE3gXaAisye1ERiUF3GnzOc+gQMPFYoT4R+Qc46q+bMMZX1vMwJncOnvDzkXSPU9E/0HKy6Uh9YHm6DZUaAUsARKQasMVZYToTQhY8jAm8hUB3ESkqIsXQXRAXZXNNQ3Sv8GNi0eq7oIFk1UlXGBNENmxlTIA555aLyCT+3RhpgnMu0yErj4bHzvcMYRVJtyd1+kBiTEhYSXZjwoCI1AA+cs41yOH18UCzcNtDw+RdNmxlTHhIBU7JaZIguhFQWjanG+M31vMwxhjjM+t5GGOM8ZkFD2OMMT6z4GGMMcZnFjyMMcb4zIKHMcYYn1nwMMYY4zMLHsYYY3xmwcMYY4zP/g9KZKH63wpPXgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -1134,7 +1135,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1201,7 +1202,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY8AAAEKCAYAAADq59mMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABAlklEQVR4nO3deZzNZfvA8c9lLGPfCUPokZ3BWIooJSqFolDRoydFRXt62lQ/7aWFFpUsZQtJtKmnicrSqGzJPjQI2Xdm3L8/rjMMZjln5qwz1/v1Oq+Z+Z7zPd/7q+Zcc9/XfV+3OOcwxhhjfJEv1A0wxhgTeSx4GGOM8ZkFD2OMMT6z4GGMMcZnFjyMMcb4zIKHMcYYn+UPdQOCpVy5cq569eqhboYxxkSMxYsX/+OcK5/ec3kmeFSvXp2EhIRQN8MYYyKGiGzM6DkbtjLGGOMzCx7GGGN8ZsHDGGOMz/JMzsMYk3PHjx8nKSmJI0eOhLopxo+io6OJiYmhQIECXp9jwcMY47WkpCSKFy9O9erVEZFQN8f4gXOOnTt3kpSURI0aNbw+z4atjDFeO3LkCGXLlrXAkYuICGXLlvW5N2k9jyzs2AELFkB0tD5KlIDSpeGcc6BgwVC3zpjgs8CR+2Tnv6kFjyz88gtcc83ZxydPhiuugPnzYdgwqFkTatfWR4MGcN55kM/6dcb4nYhw0003MX78eACSk5OpVKkSLVu2ZNasWSFuXd5hwSMLjRrBK6+Ac3DsGBw6BPv36/c//QS//Qb//AMrVsCYMafOi4+H1q1h1Sr4+2+48EIoXDhUd2FM7lG0aFGWL1/O4cOHKVy4MHPmzKFKlSqhblaeY8EjCyVKQP36UK5c+s9ffrk+kpNhzx5YuxbWrIG9e+Hbb+G992D6dB3iat0aunWDrl2hatVg3oUxucsVV1zB7Nmz6d69OxMnTqRXr17MmzcPgIMHD3L33XezbNkykpOTGTp0KF26dCExMZGbb76ZgwcPAjBixAguvPBC4uPjGTp0KOXKlWP58uU0a9aMjz76yIbnsmDBw0/y59cAU64ctGp16vgdd0DTprB4MSQkwKBB8H//B+vXQ9GiGnTy238FE4HuuQd+/92/7xkbC6+9lvXrevbsydNPP03nzp1ZunQp/fr1Oxk8hg0bRvv27Rk9ejR79uyhRYsWXHbZZVSoUIE5c+YQHR3NmjVr6NWr18mSRb/99hsrVqygcuXKtG7dmp9++ok2bdr49+ZyGfvYCrAyZaBTJ304p8NYiYkwdy6ULAl9+kBcnP4ipg06xpiMNWrUiMTERCZOnMiVV1552nPffPMNM2fO5OWXXwZ0htimTZuoXLkyd911F7///jtRUVGsXr365DktWrQgJiYGgNjYWBITEy14ZMGCRxCJQJ06+gDNldSvD7NmaQI+Lg4eeAC6d4eoqNC21ZiseNNDCKRrrrmGBx54gPj4eHbu3HnyuHOOadOmUbt27dNeP3ToUCpWrMiSJUs4ceIE0dHRJ58rVKjQye+joqJITk4O/A1EuKDNBxKRaBFZJCJLRGSFiDzlOV5GROaIyBrP19JpznlERNaKyCoR6ZjmeDMRWeZ57g2J0MHJcuXgiSc0eNx1F2zZAj17wpQpoW6ZMeGvX79+PPHEEzRs2PC04x07duTNN9/EOQfokBTA3r17qVSpEvny5WP8+PGkpKQEvc25STAnkx4F2jvnGgOxQCcRaQUMAb5zztUCvvP8jIjUA3oC9YFOwFsikvr3+NtAf6CW59EpiPfhd8WLwy23wKefwrPP6s+//AKvvw6ffabDXcaY08XExDB48OCzjj/++OMcP36cRo0a0aBBAx5//HEABg4cyNixY2nVqhWrV6+maNGiwW5yriIuBJ9MIlIE+BEYAIwDLnbObRWRSkC8c662iDwC4Jx7znPO18BQIBH43jlXx3O8l+f82zO7ZlxcnMvOfh779ulajoxmWwXK/v0wYAD8+Se0batDBE2aBLcNxpxp5cqV1K1bN9TNMAGQ3n9bEVnsnItL7/VBXcYmIlEi8juwHZjjnFsIVHTObQXwfK3geXkV4K80pyd5jlXxfH/m8VyleHFdNzJokM5oadYMbr9dpwMbY0yoBTV4OOdSnHOxQAzQQkQaZPLy9PIYLpPjZ7+BSH8RSRCRhB07dvjc3lDLn19nY336KXTpAu+/r4sPbRjLGBNqISmg4ZzbA8SjuYptnuEqPF+3e16WBKRdShcDbPEcj0nneHrXGeWci3POxZUvn+42vBGhZEl47LFTiw0XLYJ33tEEuzHGhEIwZ1uVF5FSnu8LA5cBfwIzgb6el/UFPvN8PxPoKSKFRKQGmhhf5Bna2i8irTyzrPqkOSdXi4mBihU1aNx7L9SrB+PGWU/EGBN8wex5VAK+F5GlwC9ozmMW8DzQQUTWAB08P+OcWwFMAf4AvgLudM6lzq0bALwPrAXWAV8G8T5Crlo1DRqVK0PfvnDttbB7d6hbZYzJS4K2SNA5txQ4a76Qc24ncGkG5wwDhqVzPAHILF+S69WsqQn1Dz7QR7NmsHIlpFnrZIwxAWNFwyNYVBT076/FF6+9VoPHsWM2jGXytk8++YT69euTL18+fJ2e/+yzz2b43NChQ0+WPMlMsWLFfLpmqi1bttC9e/dMX5OYmMiECRNO/pyQkMCgQYOydb2csuCRCzRqBL16wfbturfIZZfpJlbG5Gbx8fHccsstZx1v0KAB06dPp23btj6/Z2bBI9AqV67M1KlTM33NmcEjLi6ON954I9BNS5cFj1ykbFlISYF58zSg/PhjqFtkTPDVrVv3rLpWZ9q6dStt27YlNjaWBg0aMG/ePIYMGcLhw4eJjY3lxhtvBLRCb+3atbnssstYtWpVuu+1YcMGLrjgApo3b35yNXuql156iebNm9OoUSOefPJJAB5++GHeeuutk68ZOnQor7zyComJiTRooKPxiYmJXHTRRTRt2pSmTZvy888/AzBkyBDmzZtHbGwsw4cPJz4+ns6dOwOwa9cuunbtSqNGjWjVqhVLly49+f79+vXj4osvpmbNmn4LNlYYMZfp1k13M3z4YbjkEhg+HO68U4syGuNvF1989rHrr4eBA3XjtDMK3gJaiueWW7Qw6JmjNPHx/m9jeiZMmEDHjh159NFHSUlJ4dChQ1x00UWMGDGC3z115hcvXsykSZP47bffSE5OpmnTpjRr1uys9xo8eDADBgygT58+jBw58uTxb775hjVr1rBo0SKcc1xzzTXMnTuXnj17cs899zBw4EAApkyZwldffcWJEydOnptR+fjnn3+el19++eSOifFp/sGefPJJmjRpwowZM/jf//5Hnz59Tt7Ln3/+yffff8/+/fupXbs2AwYMoECBAjn6N7TgkQvVqwcTJmgAuftuDSYdOoS6Vcb4R8uWLTl69CgHDhxg165dxMbGAvDCCy/QsWPHzE/2aN68Of369eP48eN07dr15HukNW/ePLp160aRIkUAreKbnp9++olp06YBcPPNN/Pwww8DGjy++eYbmnjqCh04cIA1a9Zw6623sn37drZs2cKOHTsoXbo01apVIzEx8eR7Hj9+PMPy8Rn58ccfT7ajffv27Ny5k7179wJw1VVXUahQIQoVKkSFChXYtm3byRL02WXBI5cqXhxGjNDdDJ3THEjp0rbxlPGvzHoKRYpk/ny5ctnraSxcuNBz7XjGjBnDmLT7P3upbdu2zJ07l9mzZ3PzzTfz4IMP0qdPn7Ne523B7vRe55zjkUce4fbbzy671717d6ZOncrff/9Nz549z3p++PDhGZaPz0h6dQpT2xWIkvOW88jF8uXTLXKLFdOeSK1aWq3XmLxu48aNVKhQgdtuu41bb72VX3/9FYACBQpw/PhxQAPMp59+yuHDh9m/fz+ff/55uu/VunVrJk2aBMDHH3988njHjh0ZPXo0Bw4cAGDz5s1s364FNHr27MmkSZOYOnVqujOsMiofX7x4cfbv359uO9q2bXvy+vHx8ZQrV44SJUr4/G/jLQseeUChQvpX3qFDcNFFGkiMya0+/fRTYmJimD9/PldddVW6Q1nx8fHExsbSpEkTpk2bdrK0e//+/WnUqBE33ngjTZs25YYbbiA2NpbrrruOiy66KN3rvf7664wcOZLmzZufHCYCuPzyy+nduzcXXHABDRs2pHv37ic/+OvXr8/+/fupUqUKlSpVOus9Myof36hRI/Lnz0/jxo0ZPnz4aecMHTqUhIQEGjVqxJAhQxg7dmz2/gG9FJKS7KEQaSXZA2HnTrjvPlixAh5/HJ56yhLpxjdWkj33CuuS7Ca0ypbVBYUdOsAzz8C774a6RcaYSGXp0zymYEHdrbBlS6haVRPpEVxw2BgTItbzyINEoGtXKFMGvv4a2rSBDNY/GWNMuix45GEFC+qK9OXLtScSrAVaJrLllTxpXpKd/6YWPPK4Bg20Om/x4jqtN81MQ2POEh0dzc6dOy2A5CLOOXbu3OnVWpK0LOdhqFoVxo6Fe+6Bm26C5GTdJ8SYM8XExJCUlEQkbutsMhYdHe3zinMLHgbQrW7ffRdef11Xoh84oIsLjUmrQIEC1KhRI9TNMGHAhq3MSQULwoMPaiD54Qf9/uDBULfKGBOOLHiYsxQrBqtXw6uv6kysbdtC3SJjTLix4GHS1bYtPP+87k7YvLlN5TXGnM6Ch8lQ+/bw1ltaoqVVK/DsR2OMMRY8TOYaN4YPP4QKFeDvv3UmljHGWPAwWapWTdd/FC0KCQnwzTehbpExJtQseBiviGhl4S++gI4d4d57Ic2umcaYPMaCh/FJ585wzTXw2mu6V/XRo6FukTEmFIIWPESkqoh8LyIrRWSFiAz2HB8qIptF5HfP48o05zwiImtFZJWIdExzvJmILPM894Z4u1ekybGoKN0L5PbbYdo0Tarv3h3qVhljgi2YPY9k4H7nXF2gFXCniNTzPDfcORfreXwB4HmuJ1Af6AS8JSJRnte/DfQHankenYJ4H3meCNx2Gzz5JCxeDF9+GeoWGWOCLWjlSZxzW4Gtnu/3i8hKoEomp3QBJjnnjgIbRGQt0EJEEoESzrn5ACIyDugK+P0jzDlYuFDXOOzaBQUK6JauRYpA4cK6Ijsv93muvhpatNB/p7VrdbOp0qVD3SpjTDCEpLaViFQHmgALgdbAXSLSB0hAeye70cCyIM1pSZ5jxz3fn3k8vev0R3soVKtWzed2Hj+ulWYzUrAglCih5TzKlNGEcvnyOq21ShWoXFm/+lisMqJUrKiJ8wkT4OWXYdIkuPLKrM8zxkS2oAcPESkGTAPucc7tE5G3gWcA5/n6CtAPSO9vepfJ8bMPOjcKGAW6h7mvbY2K0nH95cu1p3H8uCaIDx3Sx4EDsHevPnbtgiVLdGe+48fT3q8GkBo14LzzoE4dfVSpknt6LfnyQVycBs5rroG339ZhLWNM7hXU4CEiBdDA8bFzbjqAc25bmuffA2Z5fkwCqqY5PQbY4jkek85xv4uKgssu0/UN5cp5d45zmkDevFkfmzbBhg2wfr2u0E5J0deVKAGNGukivCZNoH59HRaLVBUrwujRcP/90L+/3u+zz+aeAGmMOV3QgodnRtQHwErn3Ktpjlfy5EMAugHLPd/PBCaIyKtAZTQxvsg5lyIi+0WkFTrs1Qd4M1j3kRURHcIqUwYaNjz9uWPHYN06rRe1YoX2VH78UZ8rXBiaNdMd/S66CHwsrR8WihWDkSNh6FCtixUbCzfcEOpWGWMCQYK1I5iItAHmAcuA1OVl/wV6AbHo0FMicHtqMBGRR9EhrGR0mOtLz/E4YAxQGE2U3+2yuJG4uDiXkJDgc7v37YP5873vefhqzx749VdYtEgfmzbp8Zo1tTjhpZfqMFck/QXvHHz7rQaP5s01kEZS+40xSkQWO+fi0n0ur2wnGa7B40xJSTBvHsydq0ElJUV7IR06aCI6kvbhOXoUli7V2lhTpsC554a6RcYYX2QWPGyFeZiJiYFevTTp/PXX8NhjmlwfNw569NDtYadOhf37Q93SrBUqpD2OFSu0B/LLL6FukTHGX6znkYVg9zwysnOnLsabNUvXVBQqpDWmrrsO6tUL72GhtWth0CD9t5w4Ebp2DXWLjDHesJ5HLlC2LNx0k374jh+vQ1hz5mhP5JZb4Kuvwrdc+r/+BWPHQtWqcO218PnnoW6RMSanLHhEGBGoWxcefVR7Ig89pENYjz2mK77HjNH1J+GmfHmdytu7ty6atL3RjYlsNmyVhXAZtsrMiRO6hmTCBJ2xVbSoDmf17h2e7d6/XxdVfv01vPKKTvE1xoQfG7bK5fLlgzZtdMvYjz6CCy/Ur126aMmQ7dtD3cLTFS+u9cLefx8uuAC2BGSJpzEmkCx45DJ16sBzz2lZlY4d4ZNPNIi8+CL880+oW3fK5ZfDSy/poslmzeD330PdImOMLyx45FJVq8ITT8D06bqB07RpGkReey189t9o1w5GjdJEf+vW8N13oW6RMcZbFjxyuSpVNLk+bZrW6ZowQafKvveeFncMtbp1dQ1L48ZaUPLYsVC3yBjjDQseeURMDDz1FEyerHtwvPuuBpEpU0I/xbdCBXjzTcifX2t9vfZa6NtkjMmcBY88pkYNzTWMGQPVq2su5PrrIT5ea1KFUunSOmvs3nuhUyctdW+MCU8WPPKoBg209zF8uM7WeuAB3Zf8zz9D264rrtC1K/HxWmE4MTG07THGpM+CRx4mouXfJ02CIUN0D46bb4annw7tzKzrr9ehq6QknYk1f37o2mKMSZ8FD0P+/NC9O3z6Kdx4I3zxhZYRGTs2dAnsCy7QobWSJXUzLcuBGBNeLHiYk4oXh3vu0SR6s2aaxL7hhlMbVgVbjRqa4C9bVivyfv65rqY3xoSeBQ9zlmrVNBfy+us6tHXPPZrETkoKflvy5dMSKwsW6P7o114bHlOMjcnrLHiYDLVurX/5DxoECQmai3j3XThyJPhtuegiGDgQZs7UIa3Nm4PfBmPMKRY8TKYKFIA+fXSR4SWX6OLCG27Q3Q6DSQT69YMXXoA1a3RYzTaXMiZ0LHgYr1SoAMOGwTvvQMGCOox1//2wdWtw29G+vQYw57SciSXSjQkNCx7GJ3FxWuLk7rth4ULdGnfs2OB+iNepoz2hJk10OG3hwtAvcDQmr7HgYXxWoMCpvdRbtdJZWb17B7cybuHCmkhftUrzIdddZ4l0Y4LJgofJtnPO0f1CXn1VP7j/8x945pnglhWpX1+vO2OGJdKNCSYLHibH2rbVfUNuvhlmzdIFh7NnB2coSQRuvVVrdK1Zo0NZCxYE/rrG5HUWPIxfFC4MgwfrDoYxMfDkk3DnnfDXX8G5/iWXwAcf6LqQ0aMtkW5MoAUteIhIVRH5XkRWisgKERnsOV5GROaIyBrP19JpznlERNaKyCoR6ZjmeDMRWeZ57g0RkWDdh8lcrVr6IT5kCKxYodN6R4/WvToC7fzzNZl/7bU6jXflSkhJCfx1jcmLgtnzSAbud87VBVoBd4pIPWAI8J1zrhbwnednPM/1BOoDnYC3RCTK815vA/2BWp5HpyDeh8lCvnw6dDV1qiaz33oLbroJli0L/LVLloTy5XXf9tat4aqrYN++wF/XmLwmaMHDObfVOfer5/v9wEqgCtAFGOt52Vigq+f7LsAk59xR59wGYC3QQkQqASWcc/Odcw4Yl+YcE0bKl9dFfa+8AgcO6CK/F1+EgwcDf+2YGPj3v2HOHJ1evHZt4K9pTF4SkpyHiFQHmgALgYrOua2gAQao4HlZFSDtiHmS51gVz/dnHk/vOv1FJEFEEnbs2OHXezDea9dOiy1ef70m1q+/Hn74IfDX7d1bpxH//bcGkG++Cfw1jckrgh48RKQYMA24xzmX2YBCenkMl8nxsw86N8o5F+eciytfvrzvjTV+U7QoPPig5j+KFdPV6UOGBH7fkJYtdY/0UqXguedsj3Rj/CWowUNECqCB42Pn3HTP4W2eoSg8X7d7jicBVdOcHgNs8RyPSee4iQANG+qMrAEDtPfRowd89llgp/VWraoBZPBgnca7fn1oijsak5sEc7aVAB8AK51zr6Z5aibQ1/N9X+CzNMd7ikghEamBJsYXeYa29otIK8979klzjokABQro2oyJE+Ff/9KFhQMHBrbke9GiGkSSk3V/9DZtYIv9yWFMtgWz59EauBloLyK/ex5XAs8DHURkDdDB8zPOuRXAFOAP4CvgTudc6sTLAcD7aBJ9HfBlEO/D+En16lrifcgQ+OMPndY7fnxg12iULAm33KLTiG1BoTHZJy6PVJSLi4tzCQkJPp+3b5/uoV2uXAAaZU7avh2efx7mzoV69eCxx3TdRqCsWgX33Qe7dsHbb2tPyBhzOhFZ7JyLS+85W2FuwkKFCjql97nntMz7zTfr+pCjRwNzvdq1NfdSvz783//B7t2BuY4xuZUFDxM2RKBDB53O26mTzsy68UZYsiQw1ytdWvcnefllLe2elAQ2o9sY72QZPDzlQ7J6lApCW0PiyBH9QPnnHx3i2L9fj504EeqW5V6lSsFTT8Ebb+i/9X/+Ay+9FJiS6/nza+6lSBFdVNikCSxe7P/rGJPbZJnzEJEj6FTYzOpHRTnnqvmzYf6W3ZzHjBnQrdvZx194QfeyWLBAV01HR+sHUJEiOrNn8GA47zyt9PrTT1CihCZrS5XSr9Wq6Y58JnMHD+rw1ZQpWgL+0Uf13z0Qli/XtSj79mkiv2/frM8xJjfLLOeR34vzVzrnmmRxgd+y1bII0LixjokfP65F9o4d03H4+vV1sVvFilpD6dAhfRw8qD2V3bv1688/w4gRZ7/vBx9ocPniCx2mKVtWy3mULavJ+W7dNAgdPqxTW/N7818qF0pdXNihg07pvesuuPpq3Qa3RAn/XqtBA82DPPCAzshKSNC9SgoU8O91jMkNvOl51HXOrcziNdHOubBedpXdnkd2OKeBJiVFp50eOHBq6Ouff/T7Cy6AqCj4+mv4/PNTw2K7dmmAmjZNPzhHj9YCg2XLQqVKUKWKfu3fXwPKkSNQqJDmC3K7o0fh/fdPrRgfMkRLsftbcrL2LL/9Fn78ERo18v81jIkEmfU8vAke64F4YKhzbpP/mxccwQwe2ZXas9mxQwPH8ePw3Xcwb57ui7F5s85EOnJEF9jly6e5gPnz4dxzdey+Rg2dSdSmTajvJnD+/BOefhpWr4bLLtOeSdmy/r/O5s0aoOvV08BVu7b/r2FMOMtp8CgI3A7ch67kHuaci7g5KZEQPLyRkqLDYykp+oE2dar+dbxuHSQmauCpXl1nEUVHa74gJQXq1NEPwfPOyx1DYMnJ2gN57z3NM913H1x5pf97YMnJMGaM9gBHjIDbbvPv+xsTznIUPNK8STRwFzAQ+Ah4yVNaPSLkluCRmZQUDR5JSbpuYvduzRH89tupMugFC0KXLvDww/rzvn3+zx0E04YNmgtZuhQuvBD++19NrPvT7t3w0EP673jrrTBypA4VGpPb+SV4pHmzosBg4N/Au865l3PexMDLC8EjI8eOaTmO+fN1dljFinDppZqM79FD8yhxcdCsGbRooesfIklKik46GDFC80h33627Cebz4yqmlBQYPhwmTdJ/pxkzdM8QY3Izf/U8qgN1gNpAXaAF0MA5FxETTvNy8EjP0aOaP3n7bR32+v33U+sohgzRnQCPH9dhoEgZ5tq8GYYNg0WLoGlTePxxLYboT199pavg331X9wvJCxMVTN6V05zHUrTs+SbgT3QHwNTHKudcROyQYMEjc0eOaBD56iv9y7pUKf359de1N3LxxZqEL1ky1C3NnHNa4v211zT4DRgAvXppj8Rf9u7Vf69KlXTR6EUXWRAxuVNOg8d5wHoX4RUULXj45tgxLVL4zjvw/fc6hThfPoiN1XIe4Z4n2bFDewhz5+qanCee0MkC/jR/PgwapDmkceOgeHH/vr8xoZajwojOuXXOOScitUTkAxFJZ8mbyW0KFtRpsFOnwrZtOmX49tt1wdzhw7ou5cMPNdcQjkUFy5fXQovDhulw1o036sys48f9d41WrfTfZOZMLWvyxx/+e29jwp0vOY8FwFPAC865RiLSAHjIOdcnkA30F+t5+IdzOnPrn3/gmmtg2TLtkbRoAZ076/BWdHSoW3m63bt1Pcw33+jmU088odOW/WXhQi2bcvSoVg7o1ct/721MKPmrJHs+59yXQAqAc2450MAP7TMRRETLslSvrtVu58/X1e7r1+seHC+/rDOTnAvs1rK+KF0ann1WeyJ792rpkdSii/7QsiV8/LEu0ExI0J6ZMbmdLz2PGcC9wDTnXFPPFrB/OOfqBrB9fmM9j8BKSdFke758OjtryRJNWnfporWoypcPdQvV/v06CWDGDC1O+fjjOuTkD6mlaE6c0OvExek1jIlU/pyq+z5QD3gU6IT2Rnr4qZ0BZcEjeFJS4Msv4ckn4ddfNaC0aaNrL1JreoXaokWn8iE9euhiyqJF/fPe+/bpe544oT2SK67wz/saE2x+GbZyziWiAWMQUBP4Ad2T3JjTREVp/mPxYs2J9O+vX594Avbs0eGsQO5T7o0WLXTBX69eOing+uu1dL4/lCihs9RKloSrrtJ8SEqKf97bmHBhe5iboDhyBH75RfMlW7bAwIFQty707Kml0EO5TmLpUi27v3691se67z5d55JTR47oplZz5kC7djqsF26TCYzJTI56HiLyqz9eY/K26GhdTNekiSaYL7lEqwX/+9+6X/ns2bq2JBQaNdJ9PP7zHy2R36OHfuDn9O+q6GhN1A8ZomtAtm0Ln0kExuSUN4sEDwNrMnsJUDK37iRoAmfPHi3z8fbbsHEjDB2qwzyh7IWsWaOFFv/4A9q21Q/+ChVy/r7JybBzpybS163T9/Vn7S1jAiGnK8zP9eIaKc65pOw0LlgseIQv53ShXbVq+tf5J5/oOpKbboKaNYPfnuRk3S/lnXd05tjgwdC1q38+7F98UbfU7dABJkzQXSONCVc5XWG+0YtHloFDREaLyHYRWZ7m2FAR2Swiv3seV6Z57hERWSsiq0SkY5rjzURkmee5NzxThk0EE9EpvU2anFpk+NVXmsS+6y7NlQRzuCd/fh1KmzxZ8zLPPgt33KG9o5x68EHNqXz/vQ6XzZuX8/c0JhSC2XEeg87WOtNw51ys5/EFgIjUA3oC9T3nvCUiqRM83wb6A7U8j/Te00So6GjdL2PjRv2gXbVKixu++GLw2xITo0Nqjz2muxb26qUbQ+VkppiIVuN9/339+ZJLNM9iTKQJWvBwzs0Fdnn58i7AJOfcUefcBmAt0EJEKgElnHPzPYUaxwFdA9JgE1LnnKMBIykJXn0VOnaE7dt1C9rJk4O3iltEh6ymToXWrXXPkD59YOXKnL1vgwY6NJZa8XfvXkumm8jidfAQdZOIPOH5uZqItPBDG+4SkaWeYa3UbYiqAH+leU2S51gVz/dnHje5VJEicO+9uoPfhRfqENZLL2lifdQo/dANhnLl9LovvqgVhvv21ZXqOSlxUqwY3HOP7kr41Vc6bPfdd35rsjEB5UvP4y3gAiC17Nt+YGQOr/82cB4QC2wFXvEcTy+P4TI5ni4R6S8iCSKSsGNHxG27bs5QsqSWPPn6a/2gHTVKg8ibbwavDe3ba0K/SxcYPx5uuEELI+ZEkSKajN+5UxPpjzwS+kWUxmTFl+DR0jl3J3AEwDm3G8jRLoLOuW3OuRTn3AngPXR3QtAeRdo94GKALZ7jMekcz+j9Rznn4pxzceXDpbiSybHLL4f4eO2FXH657t3xzz/6gbt9e+CvX7y4rhp/5x0dcrrzTi3FsmdP9t+zZk0dxurYEZ5/XtfEbNrktyYb43e+BI/jnqS1AxCR8sCJnFzck8NI1Q1InYk1E+gpIoVEpAaaGF/knNsK7BeRVp5ZVn2Az3LSBhO54uJ018Dp06F2be0BdO4M//0vrF0bnOtPnAj9+umwU/fuWtMru7mLwoV1pfsTT2hhyQEDtD6WMeHIl8KINwI3AE2BsUB34DHn3Cdenj8RuBgoB2wDnvT8HIsGpETgdk+AQEQeBfoBycA9nnLwiEgcOnOrMPAlcLc3uxzaOo/cLylJP3zHjdOEetu2umrcn3t3ZGTtWr328uVa/HHIEKiSg2zcxo16D7VqQcWKulCxcGH/tdcYb+R0kWB+51yy5/s6wKVo7uE751wO55wEjwWPvGPHDh36GTVKf54xwz+1qrKSkqKzskaO1O9vv12n5ebPn/333L0bHnhAE/OffAING/qvvcZkJadVdRelfuOc+9M5N9I5NyKSAofJW1K3oP3rL01qFygAf/+t5U8SEgI3JTYqShPoU6Zo/a433tBpvStWZP89S5fWmV3btukw2euv25ReEx68CR62gttEpFKldI1GmzYaUObP15Xi/frBggWB+xA+5xwNXi++qD2Hf/9bd1g8eDB779e2ra5tadxYp/ZecYXOzDImlLwZtkoCXs3oeedchs+FExu2MocP67TeV1/Vv+Tr1tUP9YoVA3fNAwd0GGvqVA1gDz2kJViywzntSX36KXzxBdSvH9oikib3y+mwVRRQDCiewcOYiFC4sH54b9yoAaRIkVNbx27eHJieSLFi8PDD8OGHuk7lgQe0ttXff/v+XiI6DDZxog7JzZ8PTz9te6ab0PCm5/Grc65pkNoTMNbzMGdyToeVli6Fbt2gbFlNcl98cWDKpadW6333XQ0Et9+um2FlN6E+e7auL6ld+9SwljH+lNOeh3WMTa4kAmXKaM2q556D48e1Z9KzJ3z7rf/XWKRW6/3kE2jWTFfL9+mj03uz46qrtAe1fTs0bw4vvGDrQkzweBM8Lg14K4wJoQIFNJG+fr32ClJSdJ3Gzz8H5nqVKsHw4ZpQ37NHE+rPPQf79vn+Xm3b6uyuFi20zXfc4ffmGpMu28PcmDOkpOiq9XPP1VlNs2frB36HDjod158OHtQyJ5Mn6+ywwYN1H3VfE+HOwbRp2uYOHaByZS1vbwl1kxM5WiSYW1jwMNmxa5fWmfrjD93psH//wASRP//UhY3Ll+uQ1pAhUKOG7++TkqIBb/hwKFpU9w0pW9a/bTV5R05zHsbkWWXKwLJlOluqQAHdGOq66+C33/x7nTp1YPRorai7erXmXUaM8H0mVVSUTgmuUQNmzdLpyLNm+betxoAFD2OylC8f3HKLfqiPHatTfFNSNEexd6//yqfny6eBado0HboaMwZ69NAta30ZIBDRHtKHH2rv4+qrtf3ZyakYkxEbtjLGR87pB/HatbriOzFRCzB26pSzOlZn+v13Hcpau1Y3wnroId0a1xfHjmmZlC+/1CAUG2t5EOM9y3lgwcMExscfwzPP6F7rVarojodXXum/IJKcrMn0UaN0KnHfvvqIjvbtfXbv1kBSsaIGkYEDtQdlTGYs52FMgNx4o+5nPmGCriZ/+mmd7uuvv8ny59drTJ0Kl1wC770H11+vm2H5co3SpTVwxMfDgw/qHuo//eSfNpq8yXoexviJc7rmomxZ7SWsWqU7HHburMl2f0hI0PUh69frUNYDD+gsMF/8/DMMG6aLCwcN0jUmtleISY8NW2HBwwTXvn26+G/6dP2Lv18/uOYa/wSR5GSYNEl7IceOwU036fv7EgAOHNCikLNmwaWX6op6Y85kwQMLHib4nNPg8dRTOt23fHm4+27NifjDP/9oleDZszVADR6sa1B8SYj/9JNuNNWpky4wLFDAciHmFMt5GBMCIjr1dskSLaNeubJulbtnjw5rHTmSs/cvV04D0wcf6Or0//5Xiy2uWeP9e7RuDe3ba4n6/v01F/LDDzlrl8kbLHgYE2AiuinVb79pvqJCBR12uuYana2V0yDSuLHu2/7II7BunSbYn39eg5S37StTRlfSHz6sVYXvuAP2789Zu0zuZsHDmCAR0T09GjbUhXv/+peWEencWRcEHjqU/feOitJezvTp0L279nSuvVYT+N4uYrzgAn39ddfp1OC6deHHH7PfJpO7WfAwJgQuvRQWLoRvvoF69bQUyaBBOS+pXrKkLib8+GPd5+PFF6F3b1i0yLvzixTRHsw770DBgrpplW02ZdJjCXNjwsAPP8CmTZpUP3hQg8oNN2gwyC7ndF3Ha6/pTont2umK+KpVvT8/tfzKpElw+eVac8tWqOcdljA3Jsy1a6cbRbVrp+VORo3S4aw33tDKvtkhogsLp0yBO++EX37RWlmvv65Tdb05v1Qp7YH89JP2YK64QoOcMRY8jAkjhQvD/ffrB3379jB+vOZHXn5ZizFmR6FCp9acXHklfPSRbrs7dap3+ZASJfScAQO0J1Ovngag7LbH5A5BCx4iMlpEtovI8jTHyojIHBFZ4/laOs1zj4jIWhFZJSId0xxvJiLLPM+9IWKdaJP7xMXpAr4lS7QHkpio9amSk3UoKTvKlYMnntCAVKOGzsjq3RsWLMj63Kgords1aZKWj3/8cdiwIXvtMLlD0HIeItIWOACMc8418Bx7EdjlnHteRIYApZ1zD4tIPWAi0AKoDHwLnO+cSxGRRcBgYAHwBfCGc+7LrK5vOQ8TyY4c0eT13Llw222acL/1VqhePXvv55wWSHz9dc2HXHih5kNq1vTu3HXroHhxzZ/MmaPrS4oWzV5bTPgKi5yHc24ucObobRdgrOf7sUDXNMcnOeeOOuc2AGuBFiJSCSjhnJvvNOqNS3OOMblWdLQGiksv1XIk//uf5i8efFB3IfSViA6LffKJBo2lS6FXL61zlVWORUSnGVeooKXe779fp/V+8UV27sxEqlDnPCo657YCeL5W8ByvAvyV5nVJnmNVPN+feTxdItJfRBJEJGHHjh1+bbgxoVCliq4o37BBk+CLFulGT3//nb33K1hQg9GMGbo+ZMYMzYeMHp314kURDWYjR2pv5KqrdI3Ili3Za4uJLKEOHhlJL4/hMjmeLufcKOdcnHMurnz58n5rnDGhVqmS1rXatEk/6IsX1yq5L7+sVXN9HY0uVUp7MZMnQ/Pm8NZbGgg+/zzrxHjLljqj65Zb9PWdOvlvd0UTvkIdPLZ5hqLwfN3uOZ4EpJ2NHgNs8RyPSee4MXlSmTI6xbdNGzjvPB3OGjRIE+Fz5vg+I6p6dQ1Ao0ZpafmnntL3zyqpXrAg3HWX7mty6636+qQknTVmcqdQB4+ZQF/P932Bz9Ic7ykihUSkBlALWOQZ2tovIq08s6z6pDnHmDwrXz44/3ztibzxhpZqf+QRLVGyerXv79e0qZZMGTZMFy3edZcOk2WVX6lRQwOZczBkiPZKbrst+2tVTPgK5lTdicB8oLaIJInIrcDzQAcRWQN08PyMc24FMAX4A/gKuNM5l/o31ADgfTSJvg7IcqaVMXlFoUJa9n3dOhg7VnMkBQtqkcS1a71bHJgqXz7o2FGT6vfeq4Hjppt0mm5WeY0iRXRf965ddVitVi3N1eS0/IoJH1aexJhcbv9+TbBfc43uAdK9uw5rlS3r+/uMHQsTJ2oQ6N5dh6hKlcr8vD/+0FlcK1dqtd633872rZggs82gsOBhzI8/6jDU11/r3uidO0PfvhATk/W5aW3bpjmRzz/XFfE336zBKLNNpE6cgGnTNKfStq2uWi9aVPdWN+ErLNZ5GGNCq00bXZexbJn2GmbN0oBy7Jhvw0kVK+rQ1aRJuhL+nXd0eGryZN3kKj358um6lGbNNJHep48OZb3/vg1lRSrreRiTR/31l06pTUzU2lW//aY9kdatfaucu2yZThv+9VfNsfTvr9N1o6IyPmfFCnjhBR3SatZMpwa3aJHjWzJ+Zj0PY8xZqlbV2VFt2+oGVZs362rzHj1g5kztkXijYUN4912d5VWsGDz5pA5jxcdnvN6kfn3Nn/z3v5qPadlSeyEmcljPwxgDaLAYPRpeeUVnZl18Mbz0km+9kBMn4LvvNCm+aZMGiYEDtVeR0fscOKDBp2tX3c3QOTjnHJ0lZkLLEuZY8DDGW85pmZLDhzWhvXOn5kd699ZhKW8kJ8Ps2ZpY37ZNh6YGDIDY2MzP2blTV7ofO6Y9mSuu8McdmeyyYStjjNdEtL5V797a+9ixQ/f+6NZNP9iXLcv6PfLnhy5ddC/1Bx7QvMp//qOr31euzPicihU173L4sO490rFj9go/msCznocxJksbNugQ1vjxOszUuLEONeXP7935hw9r/atx43Q/knbtdM1HrVrpv/74cc2JjBunvZDUmlkmuGzYCgsexvjDvn06s+qPP3S1eXQ0LFyouYpixbI+/8ABXWT48cf6/WWXafmS885L//U7dsCHH2pvpHFjPadmTShQwL/3ZdJnwQMLHsb4k3Pag/jhB010FymiK9h79vRu0eG+fRpAJk7UXkmHDjrFN6PNrY4d06rBt9+uCwyHD9dhLdtHNLAs52GM8SsRLUvSpYvubnjppVoDq1s3uO8+2Lo18/NLlNAE+syZWsp93jydIvzYY5ofOVPBgpqsHzxYCzV27qzXXLIkADdnvGI9D2OMX2zYAK++qrmNN9/U6ba7d0P58lqwMTO7d+tCxSlTdBOqyy/XBHuNGme/9vhxzb2MG6eBZN48Xdho/M+GrbDgYUywJCdrMFi7Vute7dyppeF79NBAkpnduzUwfPKJBpHLLtMgkl5OZM8efd2110Lt2rB+vW5k5U3uxXjHggcWPIwJNud0ltTw4ZobyZdP903v2xfq1Mn83N27NScyZYrmRNq31yCS3uys5ORT9bKKFoVnntFqv97OBDMZs5yHMSboRDSJ/v33sHy55jZ+/hkSEuDQIe1ZHD2a/rmlS+sGVDNnQr9+ujNhr15w//060yut/Pk10f7qq1CunE4Brl9fA1ce+ds4JKznYYwJmr17dabV5s06BXfyZE2yd++uOZKM7NunVXwnTtR9RS68UIPKmSvWnYOvvtJKv5s3a9Bp2TKgt5Sr2bAVFjyMCTdz5mhl3e+/159bt9apvpl92B84oKvdP/pIcx5Nm2oQadny9Gm7yclamLFRIzj3XPj2W12tXrt2IO8o97HggQUPY8LVmjWaF5kwQT/oU6vzHj2a8Sytw4e1/ta4cbqQsF49DSJt22puJZVzmg+56SYdJrvlFnj6aahcORh3FvkseGDBw5hwd+gQrF6tvYZVqzR3cemlcP31GfcYjh3Too1jx+owVc2ampDv2PH0hPmOHVrp94sv9PigQVoOvmTJ4NxbpLLggQUPYyLJqlW6YPDzz7UHUr++TvXt0CH93khysg5NffghrFunPYubbtKEfXT0qddt3AgjRmji/qefoEmT03sq5nQWPLDgYUwkSu0xfPCBDj+NH6/TdVNS0q9vdeKEbq07ZgwsXaqztnr21MBTosSp1/39twaNIkV0mKx9e62xZXuInM6CBxY8jIlkzmlvoXRp3T73scf0WI8eWqH3zEDinG6rO2aMnlekiC4m7N0bKlQ49bqdO7WcyooVmm95+mm48cbMt9DNSyx4YMHDmNzi6FHd6nbMGN1oqnRpHZ669tr0N6tavVoT63Pm6IysK67Qle81a+rzzunMrHfe0SGvOnVg+nSoWzeYdxWeLHhgwcOY3CY5WT/k335bizP27aur0KOiNCCc2RvZskVndM2YoTOv2rTRINK0qQaVEyc0oT5tGowcqdN8jxzRnkperd4b9sFDRBKB/UAKkOycixORMsBkoDqQCFzvnNvtef0jwK2e1w9yzn2d1TUseBiTe61bp7O1du3S7W/fe08r7157LVSrdvprU2tiTZmiZVDq1dPSJhdffGqG1r59uqbkrrt0d8Nnn9WZX3ktiERK8Ihzzv2T5tiLwC7n3PMiMgQo7Zx7WETqAROBFkBl4FvgfOdcSmbXsOBhTO7n3KnFh/Hx2pto0kSDSMeOp8+sOnJEA83HH8OmTTrk1auXDoEVKaLVeydP1gWJ//yjPZVhw3QtSV4RqcFjFXCxc26riFQC4p1ztT29Dpxzz3le9zUw1Dk3P7NrWPAwJm/ZuFGHtMaP1yGs99/XGVe7dp1e3TclRcu6jx+v+4MULw7XXafrSypU0CAzcaIOee3erfW2rr46dPcVTJEQPDYAuwEHvOucGyUie5xzpdK8ZrdzrrSIjAAWOOc+8hz/APjSOTc1nfftD/QHqFatWrONGzcG4W6MMeEkJUVXsZ84oV979YKqVbWmVqdOGixSLV2qPZHvv9chqssv19lXderoqvbp03Vab40aOpvrvPN0C97cKhKCR2Xn3BYRqQDMAe4GZmYQPEYC888IHl8456Zldg3reRhj9uzRRYJjx+p+IwULwiWXnL3xVFKSFmKcOVNzKc2a6TTfNm00qOzeref89ZcuXHz6aWjVKmS3FTBhX5LdObfF83U78Cmaz9jmGa7C83W75+VJQNU0p8cAW4LXWmNMpCpVSteIrF59auvbn37SRYMHDmgw2LpV92F/4AHNiQwerMHk/vt1OGvKFF21Pn687huycKH2Pi6/HJYtC/UdBk/Iex4iUhTI55zb7/l+DvA0cCmwM03CvIxz7iERqQ9M4FTC/DugliXMjTHZcfCgDklt3AhDhmiZk2bNdH/29u01UCQn61DWhAkaIIoV0+evv17rY6VuoTtihAaYAgXSXwEfacJ62EpEaqK9DYD8wATn3DARKQtMAaoBm4AezrldnnMeBfoBycA9zrkvs7qOBQ9jTFZWrdJpvhMn6rqQIkU0GAwefOo1y5bp8999p7O72rXTEih16mihxuPHdVhs+3YdzmrTJnT3k1NhHTyCxYKHMcZbKSm6qdQHH0DhwlpkMToaPvtM91WvVElXt3/yCXz6qW5ydf75cMMNOnyVOjtrzx6d2vvUU7qOJNJY8MCChzEme5KTNUH+9de6Ih107cjVV+vCwagoDTQTJ+pixVKldCbXVVfpENjkyXr+0KFaViWSWPDAgocxJudWrdL1IpMmaRK9UCEd5qpXT4ewFi/WIDJ3ri5IbN9eA8myZZpHadFCZ2/t3auztMJ9xXrYz7YyxphIULs2vPSSJtfnzNFcR4UKmt8YPVrLwd9xh9bP6tVL91AfOFCT7Zs2acB5/HFd7d6ihdbSitS/363nYYwxOZCSormNAQN0EWFKii4e7NxZ8xyLFunQ1fr1OqR19dW6vmTmTN2vpGlTeO45zZWEGxu2woKHMSbwtmzRUvETJugeIW3bwvPP67Tdn3/W5PrcuTpc1a6dlkmJj9d6Wq+8olOAIXyGsyx4YMHDGBNcS5ZozyJ/fl2UOHiwBoxWrXR1+8yZsH+/ztK66irtpaxbpzmTYcN0Vleog4gFDyx4GGNCwzmtmfXss5rjOHAAypQ5NeX38891SKtMGWjYEJYv1x0O27SBF18Mbe0sS5gbY0yIiEDjxpr32LZNh7UaN4ZZs6B1a/jwQ13Z/q9/wQ8/6F4idetqwLnwQt1bPRzlD3UDjDEmryhSRHc87NtXk+ypZVGmT9ehrNhYXYz466+6Wr1qVZ3a++efWm/r4EHdnCocWM/DGGNCoFQpHbZq1Up7JXfcoVN5FyzQ2VgXXKC9kAkToHt3nRZ83nmagD92LNStt5yHMcaEjeRkTaS/9x40aKDDVt98owFk3z4oWlR7H+efD++8o+XkA8lyHsYYEwHy59ctc7/8UhPsrVppD2XfPl3NnmrDBl29PmRIyJpqwcMYY8JRgQI6rPXss5pcb9dOcyRpp+/Onq3rR1Iy3ZAiMCx4GGNMGBPRdSBff63b6N5+OzRvDn36aJK9XTto1Ei3yz10KIjtspyHMcZElpQUXYA4Y4aWRUlVtapW+K1Xzz/XsZyHMcbkIlFRcM452tt4/HFNpINuo9uoEbz7buDbYMHDGGMiVPHiulthUpJO9RXRXklqZd9AsuBhjDERrlQpePttXUx42226r3qPHjob6+jRwFzTgocxxuQS558Po0ZpaZPateGFF3S9SCAWFVrwMMaYXKZaNa2T1bQp1Kmj60f8zWpbGWNMLlS2rG6L61xgSrtbz8MYY3KxQO0JYsHDGGOMzyI2eIhIJxFZJSJrRSSEFV6MMSbvicjgISJRwEjgCqAe0EtE/LSm0hhjTFYiMngALYC1zrn1zrljwCSgS4jbZIwxeUakBo8qwF9pfk7yHDPGGBMEkRo80ps/cFaFRxHpLyIJIpKwY8eOIDTLGGPyhkgNHklA1TQ/xwBbznyRc26Ucy7OORdXvnz5oDXOGGNyu4gsyS4i+YHVwKXAZuAXoLdzbkUm5+wANvp4qXLAP9ltZxjJLfcBuede7D7Ci91H+s51zqX7l3dErjB3ziWLyF3A10AUMDqzwOE5x+euh4gkZFTLPpLklvuA3HMvdh/hxe7DdxEZPACcc18AX4S6HcYYkxdFas7DGGNMCFnwyNyoUDfAT3LLfUDuuRe7j/Bi9+GjiEyYG2OMCS3reRhjjPGZBQ9jjDE+s+BB1hV6Rb3heX6piDQNRTuz4sV93Ohp/1IR+VlEGoeinVnxtmKyiDQXkRQR6R7M9nnLm/sQkYtF5HcRWSEiPwS7jd7y4v+tkiLyuYgs8dzLv0PRzsyIyGgR2S4iyzN4PiJ+z8Grewn877pzLk8/0HUi64CaQEFgCVDvjNdcCXyJlkVpBSwMdbuzeR8XAqU9318RqfeR5nX/Q6drdw91u7P536MU8AdQzfNzhVC3Owf38l/gBc/35YFdQMFQt/2MNrYFmgLLM3g+7H/PfbiXgP+uW8/Duwq9XYBxTi0ASolIpWA3NAtZ3odz7mfn3G7PjwvQsi7hxtuKyXcD04DtwWycD7y5j97AdOfcJgDnXCTfiwOKi4gAxdDgkRzcZmbOOTcXbVdGIuH3HMj6XoLxu27Bw7sKvZFQxdfXNt6K/pUVbrK8DxGpAnQD3gliu3zlzX+P84HSIhIvIotFpE/QWucbb+5lBFAXrTG3DBjsnDsRnOb5TST8nmdHQH7XI3aFuR95U6HXqyq+IeZ1G0XkEvR/qDYBbVH2eHMfrwEPO+dSJFAbNOecN/eRH2iG1mgrDMwXkQXOudWBbpyPvLmXjsDvQHvgPGCOiMxzzu0LcNv8KRJ+z30SyN91Cx7eVej1qopviHnVRhFpBLwPXOGc2xmktvnCm/uIAyZ5Akc54EoRSXbOzQhKC73j7f9X/zjnDgIHRWQu0Bgt+hlOvLmXfwPPOx1kXysiG4A6wKLgNNEvIuH33GuB/l23YSutyFtLRGqISEGgJzDzjNfMBPp4ZmO0AvY657YGu6FZyPI+RKQaMB24OQz/uk2V5X0452o456o756oDU4GBYRY4wLv/rz4DLhKR/CJSBGgJrAxyO73hzb1sQntQiEhFoDawPqitzLlI+D33SjB+1/N8z8NlUKFXRO7wPP8OOqPnSmAtcAj9KyuseHkfTwBlgbc8f7UnuzCrJOrlfYQ9b+7DObdSRL4ClgIngPedc+lOvQwlL/+bPAOMEZFl6PDPw865sCpxLiITgYuBciKSBDwJFIDI+T1P5cW9BPx33cqTGGOM8ZkNWxljjPGZBQ9jjDE+s+BhjDHGZxY8jDHG+MyChzHGGJ9Z8DDGGOMzCx7G+ImIVM+oRLaX5x4Wkd99PK+wp6T7MREpl51rG5MdFjyM8QNPNdmc/j6tc87F+nKCc+6w55yILaNhIpMFD2OyydNbWCkibwG/onWRokTkPc+GSN+ISGHPa+8TkeWexz1evv8nIjJCRH4UkY0i0kZExonIahH5IHB3ZkzWLHgYkzO10T0gmgAbgVrASOdcfWAPcJ2INENLXbRENxm6TUSaePHeDYH1zrk2wFjgA+BhoAFwrYgU8vfNGOOtPF/bypgc2ujZOCjVBufc757vFwPV0RpDn3qq5yIi04GLgN8yelMRiUZ3GnzNc+gw8EFqoT4ROQQc89dNGOMr63kYkzMHz/j5aJrvU9A/0LKz6Uh94Nc0Gyo1BhYCiEgMsMVZYToTQhY8jAm8uUBXESkiIkXRXRDnZXFOQ3Sv8FSN0Oq7oIFk6VlnGBNENmxlTIA5534VkTGc2hjpfedchkNWHg1TX+8ZwiqcZk/qtIHEmJCwkuzGhAERqQ7Mcs41yOb5iUBcuO2hYXIvG7YyJjykACWzu0gQ3QjoRBYvN8ZvrOdhjDHGZ9bzMMYY4zMLHsYYY3xmwcMYY4zPLHgYY4zxmQUPY4wxPrPgYYwxxmcWPIwxxvjMgocxxhif/T/y0ZiNREj4KwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -1228,7 +1229,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1gAAAI4CAYAAAB3HEhGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABQ10lEQVR4nO39fbwkdX3n/b/ezA3jwAAjjIKADuqIolEkI6ImxJtogMsV42oCicEQExaDrpo1Gza5Lv25ufK41CQmMRJYsqKyUYgaMCRLROOa4B3IgMPNiIQJqIyAjIAwOM4MA5/fH1WjzeHc9JlTffr0Oa/n49GP7q76VvW7a3q+pz5dVd9OVSFJkiRJmrk9hh1AkiRJkuYLCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHVk87ABdOuCAA2r16tXDjiEtWFdfffX3q2rVsHPMJvsdafjseyQNw0R9z7wqsFavXs26deuGHUNasJJ8e9gZZpv9jjR89j2ShmGivsdTBCVJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSODLTASnJckpuSbExy5jjzfzXJde3tK0me0++ykjRdSc5LcleSGyaYP2GfpPln85ZtfOnmzfzDtd/lSzdvZvOWbcOOpBHWxz7PyiQXt/3L15I8q2feW5PckGRDkrfNanBJnRtYgZVkEXAWcDxwBHBykiPGNLsV+Lmqejbwh8C501hWkqbrI8Bxk8wft0/S/LN5yza+vPFutj34MPvvtSfbHnyYL2+82yJLu6XP/ZbfB9a3/cspwF+0yz4L+C3gaOA5wCuTrJmt7JK6N8gjWEcDG6vqlqraAVwInNjboKq+UlX3tk+vAA7pd1lJmq6quhy4Z5L5E/VJmmduunMLe++5mL32XEwS9tpzMXvvuZib7twy7GgaTf3stxwBfB6gqr4JrE7yeOAZwBVVtbWqdgL/Cvzi7EWX1LVBFlgHA7f1PN/UTpvIG4F/mu6ySU5Lsi7Jus2bN88griQ9Qm+f9Aj2O6Pv3q07WL500SOmLV+6iHu37hhSIo24fvZbrgVeA5DkaOBJNF/i3AAcm2T/JMuBE4BDx3sR+x5pNAyywMo402rchslLaHZmfm+6y1bVuVW1tqrWrlq1areCSlKvcfqkR7DfGX0rly9l646HHjFt646HWLl86ZASacT1s9/yHmBlkvXAW4CvAzur6kbgvcDngM/QFGI7x3sR+x5pNAyywNrEI7+BOQS4fWyjJM8G/idwYlXdPZ1lJalrE/RJmmcOP3AFD2zfyQ+376Sq+OH2nTywfSeHH7hi2NE0mqbcb6mq+6vq1Ko6kuYarFU0131SVR+qqqOq6lia05hvnpXUkgZikAXWVcCaJIclWQqcBFzS2yDJE4GLgF+rqn+bzrKS1LVJ+iTNM6tWLONFT92fZUv24O4fbmfZkj140VP3Z9WKZcOOptHUzz7Pfu08gN8ELq+q+9t5j2vvn0hzGuEFs5ZcUucWD2rFVbUzyZuBy4BFwHlVtSHJ6e38c4B3AvsDf5UEmkPlaydadlBZJS0MSS4AXgwckGQT8C5gCUzeJw0nrQZt1YplFlTqRJ/7PM8Azk/yEPANmtOQd/m7JPsDDwJn9Ay2I2kEpWrcS5tG0tq1a2vdunXDjiEtWEmuXmgFif2ONHz2PZKGYaK+Z6A/NCxJkiRJC4kFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkiRJktSRgRZYSY5LclOSjUnOHGf+05N8Ncn2JO8YM+9bSa5Psj7JukHmlLQwJDkvyV1Jbphg/oR9kiRNpo99npVJLk5yXZKvJXlWz7y3J9mQ5IYkFyRZNrvpJXVpYAVWkkXAWcDxwBHAyUmOGNPsHuA/A38ywWpeUlVHVtXaQeWUtKB8BDhukvlT9UmS9Ch97vP8PrC+qp4NnAL8RbvswTT9ztqqehawCDhptrJL6t4gj2AdDWysqluqagdwIXBib4OququqrgIeHGAOSQKgqi6nKaImmm+fJGl3TLnPQ1N4fR6gqr4JrE7y+HbeYuAxSRYDy4HbZye2pEEYZIF1MHBbz/NN7bR+FfDZJFcnOW2iRklOS7IuybrNmzfvZlRJ6p/9jqQx+tnnuRZ4DUCSo4EnAYdU1Xdpjpp/B7gDuK+qPjvei9j3SKNhkAVWxplW01j+RVV1FM3h9jOSHDteo6o6t6rWVtXaVatW7U5OSZoW+x1JY/Szz/MeYGWS9cBbgK8DO5OspDnadRjwBGCvJK8f70Xse6TRMMgCaxNwaM/zQ5jGIe+qur29vwu4mObwuyRJ0lwz5T5PVd1fVadW1ZE012CtAm4Ffh64tao2V9WDwEXAC2cltaSBGGSBdRWwJslhSZbSXLB5ST8LJtkryYpdj4FXAOOO+iVJkjRkU+7zJNmvnQfwm8DlVXU/zamBxyRZniTAy4AbZzG7pI4tHtSKq2pnkjcDl9GMiHNeVW1Icno7/5wkBwLrgH2Ah5O8jeYi0AOAi5t+hsXAx6vqM4PKKmlhSHIB8GLggCSbgHcBS2DyPqndCZKkcfWzzwM8Azg/yUPAN4A3tvOuTPIp4BpgJ82pg+cO4W1I6sjACiyAqroUuHTMtHN6Ht9Jcxh9rPuB5wwym6SFp6pOnmL+RH2SJE2qj32erwJrJlj2XTRf+EiaBwb6Q8OSJEmStJBYYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSNIEkK5M8e9g5JI0OCyxJkqQeSf4lyT5JHgtcC3w4yfuHnUvSaLDAkiRJeqR9q+p+4DXAh6vqp4GfH3ImSSPCAkuSJOmRFic5CPgl4B+HHUbSaLHAkiRJeqT/DlwG/HtVXZXkycDNQ84kaUQsHnYASZKkuaSqPgl8suf5LcB/HF4iSaPEI1iSJEk9khyS5OIkdyX5XpK/S3LIsHNJGg19F1hJHptk5SDDSJIkzQEfBi4BngAcDPxDO02SpjRpgZXkiUkuTLIZuBK4qv0258Ikq6daeZLjktyUZGOSM8eZ//QkX02yPck7prOspIUnySfa++uTXNdzuz7JdX0sf17bh90wwfwk+UDb71yX5Kiu34OkkbCqqj5cVTvb20eAVZMt0Mc+z8r2qNh1Sb6W5Fnt9MOTrO+53Z/kbQN5V5JmxVTXYP0t8OfAr1bVQwBJFgGvAy4EjplowbbdWcDLgU00xdklVfWNnmb3AP8ZePVuLKt54s8v28DH193OA9t2sveyxfzK2ifwtl945rBjaW56a3v/yt1c/iPAB4HzJ5h/PLCmvT0fOLu9H6jNW7Zx051buHfrDlYuX8rhB65g1Yplg37ZBe+rG+/i0+tv53v3befx++7Jq498Ai946uOGHWveG5HP+/eTvB64oH1+MnD3RI373G/5fWB9Vf1ikqe37V9WVTcBR/as57vAxR2/H80h7vfMf1OdInhAVf3truIKoKoeqqoLgf2nWPZoYGNV3VJVO2gKshN7G1TVXVV1FfDgdJfV/PDnl23gnMu/zfYHH2LfZXuw/cGHOOfyb/Pnl20YdjTNQVV1R3v/7fFufSx/Oc0XOxM5ETi/GlcA+7VDNQ/M5i3b+PLGu9n24MPsv9eebHvwYb688W42b9k2yJdd8L668S4++IV/Z8u2hzh4v2Vs2fYQH/zCv/PVjXcNO9q8NkKf99+gGaL9zvb22nbaRPrZbzkC+DxAVX0TWJ3k8WPavIxm5MIp+zONJvd7FoapCqyrk/xVkucneUJ7e36SvwK+PsWyBwO39Tzf1E7rx0yW1Qj5+Lrb2XPJHqxYtoRFixazYtkS9lyyBx9fd/uwo2kOS/KaJDcnua89nWZLkvs7WPWs9z033bmFvfdczF57LiYJe+25mL33XMxNd24Z5MsueJ9efzv7PmYp+++9lD0W7cH+ey9l38cs5dPr7XsGaVQ+71X1nap6VVWtam+vnqLo6afvuJbmh4tJcjTwJGDswBkn8ZOjZpqH3O9ZGKYqsE4BrgfeTfN7EJ9tH98A/NoUy2acadVnrr6XTXJaknVJ1m3evLnP1WuueGDbTpYveeQ/9/Il4YFtO4eUSCPifcCrqmrfqtqnqlZU1T4drLevvqfLfuferTtYvnTRI6YtX7qIe7fumNF6Nbnv3bedlY955FnyKx+zmO/dt31IiRaGUfm8J3lykn9Isrm9bvPv29/CmnCRcaaN7TveA6xMsh54C80X1T/+Y5dkKfAqeoaHHyeX+zwjzv2ehWHSAquqdlTV2VV1XFX9VFU9q338V1U11V+hTcChPc8PAfotz/tetqrOraq1VbV21apJrz/VHLT3ssVsffCRf4O2PljsvcyfaNOkvldVNw5gvX31PV32OyuXL2XrjoceMW3rjodYuXzpjNaryT1+3z2590eP3KG590c7efy+ew4p0cIwQp/3jwOfAA6iGUnwk0x+ZGnKvqOq7q+qU6vqSJovsFcBt/Y0OR64pqq+N9GLuM8z+tzvWRimGkXwL9sRtca9TbHuq4A1SQ5rv5U5iWbI037MZFmNkF9Z+wS2P/gwW7Y9yEMP7WTLtgfZ/uDD/MraJww7muag9tTA1wDrkvxtkpN3TWunz9QlwCntaILHAPftuu5rUA4/cAUPbN/JD7fvpKr44fadPLB9J4cfuGKQL7vgvfrIJ3Dfj3Zw9wM7ePihh7n7gR3c96MdvPpI+55BGqHPe6rqf/WMIvg3TH4WzpT7LUn2a+cB/CZweVX1ntp8Mp4eOO+537MwTFUur+t5/G7gXf2uuKp2JnkzzamFi4DzqmpDktPb+eckObB9jX2Ah9thSY+oqvvHW7bf19bo2DVqzsfX3c597Wg6p77gUEfT0UT+Q3tfwFbgFT3zCrhosoWTXAC8GDggySaaPm0JNH0ScClwArCxXf+pHWYf16oVy3jRU/fnpju3cPcPt7Ny+VKec+j+c3FUtXll12iBn15/O9/9wTYev++e/NoxT3EUwQEboc/7F9qh1i+k6Vt+GfjfSR4LUFWPGCynn30e4BnA+UkeAr4BvHHX8kmW04xA+J8G/s40VO73LAyp6u+yqCRfr6rnDjjPjKxdu7bWrVs3dUNJA5Hk6qpaOwuv81HgrVX1g/b5SuBPq2qyUb4Gwn5HGr6u+54kt04yu6pqsuuxZoV9jzR8E/U90znhs98BKiRp0J69q7gCqKp7k8zpL4AkjY6qOmyy+UleXlWfm608kkbLVKMIStJctEd71AqA9rQdrxCWNFveO+wAkuauSXdIkmzhJ0eulvf8zkxoDpF3MSyyJE3XnwJfSfIpmj7ql4A/Gm4kSQvIeMOySxIwRYFVVXNuWB9Jqqrzk6wDXkqzo/OaqvrGkGNJWji8bELShDylRtJIagsqiypJkjSnWGBJkiT1SLIM+G3gZ2iOVn0JOLuqtrVNvjWkaJJGgAWWJEnSI50PbAH+sn1+MvC/gNcBVFUXP2wuaZ6ywJIkSXqkw6vqOT3Pv5Dk2qGlkTRSHKZdkiTpkb6e5JhdT5I8H/jyEPNIGiEewZIkSQKSXE9zzdUS4JQk32mfPwkH1ZHUJwssSZKkxiuHHUDS6LPAkiRJAqrq28POIGn0eQ2WJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI4MtMBKclySm5JsTHLmOPOT5APt/OuSHNUz71tJrk+yPsm6QeaUtDD00SetTHJx2x99LcmzhpFT0uiZSf+SZL8kn0ryzSQ3JnnB7KaX1KWBFVhJFgFnAccDRwAnJzliTLPjgTXt7TTg7DHzX1JVR1bV2kHllLQw9Nkn/T6wvqqeDZwC/MXsppQ0ijroX/4C+ExVPR14DnDj4FNLGpRBHsE6GthYVbdU1Q7gQuDEMW1OBM6vxhXAfkkOGmAmSQtXP33SEcDnAarqm8DqJI+f3ZiSRtBu9y9J9gGOBT7UzttRVT+YteSSOjfIAutg4Lae55vaaf22KeCzSa5OctpEL5LktCTrkqzbvHlzB7ElzVP99EnXAq8BSHI08CTgkLErst+RNMZM+pcnA5uBDyf5epL/mWSv8V7EvkcaDYMssDLOtJpGmxdV1VE0h9vPSHLseC9SVedW1dqqWrtq1ardTytpvuunT3oPsDLJeuAtwNeBnY9ayH5H0iPNpH9ZDBwFnF1VzwV+CDzqGi6w75FGxeIBrnsTcGjP80OA2/ttU1W77u9KcjHN4ffLB5ZW0nw3ZZ9UVfcDp0IzCA9wa3uTpMnMpH9ZDmyqqivbpp9iggJL0mgY5BGsq4A1SQ5LshQ4CbhkTJtLgFPa0QSPAe6rqjuS7JVkBUB7mPwVwA0DzCpp/puyT2pH8lraPv1N4PJ2p0iSJrPb/UtV3QncluTwdt7LgG/MVnBJ3RvYEayq2pnkzcBlwCLgvKrakOT0dv45wKXACcBGYCvtNzvA44GLmy94WAx8vKo+M6iskua/PvukZwDnJ3mIZgfnjUMLLGlkdNC/vAX4WFuA3cJP9ockjaBBniJIVV1KU0T1Tjun53EBZ4yz3C00w5RKUmf66JO+SvOzEZI0LTPpX6pqPeBP0kjzxEB/aFiSJEmSFhILLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjAy2wkhyX5KYkG5OcOc78JPlAO/+6JEf1u6wkTVcffdK+Sf4hybVJNiQ5dRg5NTs2b9nGl27ezD9c+12+dPNmNm/ZNuxIGmF99C8rk1zc7u98LcmzeuZ9K8n1SdYnWTe7ySV1bWAFVpJFwFnA8cARwMlJjhjT7HhgTXs7DTh7GstKUt/67FfOAL5RVc8BXgz8aZKlsxpUs2Lzlm18eePdbHvwYfbfa0+2PfgwX954t0WWdkuf/cvvA+ur6tnAKcBfjJn/kqo6sqrWDjywpIEa5BGso4GNVXVLVe0ALgROHNPmROD8alwB7JfkoD6XlaTp6KdfKWBFkgB7A/cAO2c3pmbDTXduYe89F7PXnotJwl57LmbvPRdz051bhh1No6mf/uUI4PMAVfVNYHWSx89uTEmzYZAF1sHAbT3PN7XT+mnTz7IAJDktybok6zZv3jzj0JLmrX76lQ8CzwBuB64H3lpVD49dkf3O6Lt36w6WL130iGnLly7i3q07hpRII66f/uVa4DUASY4GngQc0s4r4LNJrk5y2kQvYt8jjYZBFlgZZ1r12aafZZuJVedW1dqqWrtq1appRpS0gPTTr/wCsB54AnAk8MEk+zxqIfudkbdy+VK27njoEdO27niIlcs9I1S7pZ/+5T3AyiTrgbcAX+cnR8hfVFVH0ZxieEaSY8d7EfseaTQMssDaBBza8/wQmm+F+2nTz7KSNB399CunAhe1py1vBG4Fnj5L+TSLDj9wBQ9s38kPt++kqvjh9p08sH0nhx+4YtjRNJqm7F+q6v6qOrWqjqS5BmsVTR9DVd3e3t8FXExzyqGkETXIAusqYE2Sw9qLxE8CLhnT5hLglHY0wWOA+6rqjj6XlaTp6Kdf+Q7wMoD22ojDgVtmNaVmxaoVy3jRU/dn2ZI9uPuH21m2ZA9e9NT9WbVi2bCjaTRN2b8k2a9n0JzfBC6vqvuT7JVkRdtmL+AVwA2zmF1SxxYPasVVtTPJm4HLgEXAeVW1Icnp7fxzgEuBE4CNwFaab48nXHZQWSXNf332SX8IfCTJ9TSn/PxeVX1/aKE1UKtWLLOgUif67F+eAZyf5CHgG8Ab28UfD1zcjK3DYuDjVfWZ2X4PkrqTqnEvbRpJa9eurXXr/PkIaViSXL3Qhhi235GGz75H0jBM1PcM9IeGJUmSJGkhscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqSKpq2Bk6k2Qz8O0OVnUA8P0O1jMMZh8OszeeVFWrOlrXSOiw3wE/R8Ni9uGw75kB+54fM/twmL0xbt8zrwqsriRZV1Vrh51jd5h9OMyuLozyv4XZh8Ps6sIo/1uYfTjMPjlPEZQkSZKkjlhgSZIkSVJHLLDGd+6wA8yA2YfD7OrCKP9bmH04zK4ujPK/hdmHw+yT8BosSZIkSeqIR7AkSZIkqSMWWJIkSZLUkQVbYCU5L8ldSW6YYP6+Sf4hybVJNiQ5dbYzTqSP7CuTXJzkuiRfS/Ks2c44kSSHJvlCkhvb7frWcdokyQeSbGzfw1HDyDpWn9mfnuSrSbYneccwco6nz+y/2m7v65J8JclzhpF1IUhyXJKb2s/4mePMn5OfI+gr+5z9HPWR/cQ29/ok65L8zDByjmeq7D3tnpfkoSSvnc18k+lju784yX3tdl+f5J3DyLlQJHl7+3fghiQXJFmW5LFJPpfk5vZ+5bBzjifJW9vcG5K8rZ02J7OPt682WdYk/639P3JTkl8YTuofZxkv++va7f5wkrVj2s/17H+c5Jtt/35xkv165g0me1UtyBtwLHAUcMME838feG/7eBVwD7B02Ln7zP7HwLvax08HPj/szD3ZDgKOah+vAP4NOGJMmxOAfwICHANcOezc08j+OOB5wB8B7xh25mlmfyGwsn18/FzZ7vPtBiwC/h14MrAUuHaEPkf9ZJ+Tn6M+s+/NT65NfjbwzWHn7jd7T7v/A1wKvHbYuaex3V8M/OOwsy6EG3AwcCvwmPb5J4BfB94HnNlOO3PX/s9cugHPAm4AlgOLgX8G1szV7IyzrzZRVuCI9v/GnsBh7f+ZRXMs+zOAw4F/Adb2TB+F7K8AFreP3zsb233BHsGqqstpiqYJmwArkoTmj+49wM7ZyDaVPrIfAXy+bftNYHWSx89GtqlU1R1VdU37eAtwI02H3+tE4PxqXAHsl+SgWY76KP1kr6q7quoq4MEhRJxQn9m/UlX3tk+vAA6Z3ZQLxtHAxqq6pap2ABfSfOZ/bK5+jugv+1z9HPWT/YFq/+oCe9H8HZgLpszeegvwd8BdsxluCv1m1+xZDDwmyWKaYuV2mn+Tj7bzPwq8ejjRJvUM4Iqq2lpVO4F/BX6ROZp9gn21ibKeCFxYVdur6lZgI83/naEYL3tV3VhVN43TfBSyf7b9zMAj/y4NLPuCLbD68EGa/8y3A9cDb62qh4cbqW/XAq8BSHI08CTmzk7OjyVZDTwXuHLMrIOB23qeb+LRRdhQTZJ9zusz+xtpjiKqe3P+8z2J6WafS5+jvrIn+cUk3wT+N/Abs5RtKlNmT3Iwzc7mObOYqx/9fmZekOaU/H9K8szZibbwVNV3gT8BvgPcAdxXVZ8FHl9Vd7Rt7qA5ij7X3AAcm2T/JMtpznY5lNHIvstEWRfS34Vh+w1+8ndpYNktsCb2C8B64AnAkcAHk+wzzEDT8B5gZZL1NN9ofp05cvRtlyR703zT+raqun/s7HEWmSvfJE+VfU7rJ3uSl9DsGP/ebGZbQOb053sKfWefg5+jvrJX1cVV9XSab5b/cNCh+tRP9j8Hfq+qHhp8nGnpJ/s1wJOq6jnAXwKfHnSohaq95udEmtOhngDsleT1w03Vn6q6keb0rs8Bn6H5MnlO7dvMwIL4uzBsSf6A5jPzsV2TxmnWSXYLrImdClzUnqa2keac5acPOVNfqur+qjq1qo4ETqG5huzW4ab6iSRLaHbyP1ZVF43TZBPNt1K7HEJzJHHo+sg+Z/WTPcmzgf8JnFhVd89mvgVkzn6++9BX9jn6OZrWdm9PM3lKkgMGHawP/WRfC1yY5FvAa4G/SvLqWUk3uSmzt3+zHmgfXwosmSPbfT76eeDWqtpcVQ8CF9FcN/m9Xafit/dz6TTTH6uqD1XVUVV1LM1pYDczItlbE2Wd938Xhi3JG4BXAr/acyr4wLJbYE3sO8DLANrrlw4Hbhlqoj4l2S/J0vbpbwKXz5UjLe01bR8Cbqyq90/Q7BLglDSOoTmF4Y5ZCzmBPrPPSf1kT/JEmj+2v1ZV/zab+RaYq4A1SQ5r/5+eRPOZHwVTZp/Dn6N+sj+1/b9CmtFLlwJzoUCcMntVHVZVq6tqNfAp4Ler6tOznvTR+tnuB/Zs96Np9k3mwnafj74DHJNkebvNX0ZzTe4lwBvaNm8A/n5I+SaV5HHt/RNpLoW4gBHJ3poo6yXASUn2THIYzeAdXxtCvt0x57MnOY7mbIpXVdXWnlkDy764i5WMoiQX0IxcdECSTcC7gCUAVXUOzakhH0lyPc0hxN+rqu8PKe4j9JH9GcD5SR4CvkFzms5c8SLg14Dr21MYoRmx8Ynw4/yX0pxbvRHYSnM0cS6YMnuSA4F1wD7Aw2mGkT1iDhS4/Wz3dwL703zzDbCzqtY+elWaiarameTNwGU0I6ydV1Ubkpzezp+zn6N+sjNHP0d9Zv+PNF/uPAj8CPjlnm86h6bP7HNSn9lfC7wpyU6a7X7SXNju81FVXZnkUzSnZe6kuYTgXJrBvD6R5I00RdjrhpdyUn+XZH+aAYDOqKp7k7yHOZh9gn21cbO2/yc+QbPPtpPmvQ3tdN8Jst9DcwrvKuB/J1lfVb8wItn/G81IgZ9r/y5dUVWnDzJ77MMkSZIkqRueIihJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkkhyXpK7ktzQZ/tfSvKNJBuSfHzQ+SRJkkaFBZY6leSQJH+f5OYktyT5YJI9p7mO1Ul+pY92RyY5YffTqsdHgOP6aZhkDc2Qpy+qqmcCbxtcLKkbSR4Y8/zXk3xwWHkkzR9J9k+yvr3dmeS7Pc+X9rH8vyQZ+s9ZqDsWWOpM+6OFFwGfrqo1ND/Y9hjgfdNc1WpgygILOJLm97I0Q1V1Oc1vXPxYkqck+UySq5N8McnT21m/BZxVVfe2y96FJEkLVFXdXVVHVtWRwDnAn+16XlU7hhxPQ2CBpS69FNhWVR8GaH+s7e00P9y5b5I/TnJVkuuS/KdJ1vMe4Gfbb37enmRZkg8nuT7J15O8pP1G6L8Dv9y2++WBv7uF51zgLVX108A7gL9qpz8NeFqSLye5ov2FdGkkJVnUHm1Pkv2SPJzk2HbeF5M8ddgZJY2eJD+d5F/bLykvS3LQFIu8PslXktyQ5Oh2HXv37P9cl+Q/zkJ0dWDxsANoXnkmcHXvhKq6P8m3gP8E3FdVz2tPGfxyks9W1a3jrOdM4B1V9UqAJP+lXddPtUdRPkuzk/9OYG1VvXlg72iBSrI38ELgk+2vnkPzK+jQ9BtraH4p/RDgi0meVVU/mOWY0nQ8Jsn6nuePBS6pqoeS/BtwBHAYTR/2s0muBA6pqo2zH1XSiAvwl8CJVbW5/RL4j4DfmGSZvarqhe0XPOcBzwL+H5p9p58CSLJywLnVEQssdSlATTD9FcATk7y2nbYvzU76eAXWWD9D01FRVd9M8m2aAkuDswfwg/Z0h7E2AVdU1YPArUluovm3vGoW80nT9aPez3OSXwd2XfPwReBYmgLr/6M5DfZf8TMtaffsSVMgfa79knIRcMcUy1wAzSn7SfZJsh/w88BJuxrsOjVfc5+nCKpLG/jJDgsASfYBHg/cR3O62a5zkg+rqs/2ud5M3URdqqr7aYqn10FzfV2S57SzPw28pJ1+AE2xe8swckod+SLws8DRwKXAfjRHaC8fXiRJIyzAhp59np+qqldMsczYL6iLib+41hxngaUufR5YnuQUaK5tAP4U+CBwGfCmJEvaeU9LstcE69kCrOh5fjnwq7uWA54I3DROO+2mJBcAXwUOT7IpyRtptvkbk1xLUzyf2Da/DLg7yTeALwC/W1V3DyO31JEraU6JfbiqtgHraU5r/uIwQ0kaWduBVUleAJBkSZJnTrHML7dtf4bmtMD7aC6J+PFlEJ4iODo8RVCdqapK8ovAWUn+H2AV8LdV9UdJ9qAZHfCadrTBzcCrJ1jVdcDOdsf+IzSDK5yT5HpgJ/DrVbU9yReAM9vrKv6/qvrbwb27+a2qTp5g1qMGsKiqAn6nvUkjr+1PbgOuaCd9ETgZuH54qSSNsIeB1wIfSLIvzf72n9N8WTmRe5N8BdiHn1yr9f/S7FPdADwEvJtmtGbNcWn2laTuJXkhzTnFr6mqq6dqL0mSJI06CyxJkiRJ6oinCGpokvwU8L/GTN5eVc8fRh5JkqRBSXIW8KIxk/9i1++Hav7wCJYkSZIkdcRRBCVJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpI/OuwEpyXpK7ktzQR9tjk1yTZGeS146Z994kN7S3Xx5cYkmSJEnzxbwrsICPAMf12fY7wK8DH++dmOT/Ao4CjgSeD/xukn06SyhJkiRpXpp3BVZVXQ7c0zstyVOSfCbJ1Um+mOTpbdtvVdV1wMNjVnME8K9VtbOqfghcS/9FmyRJkqQFat4VWBM4F3hLVf008A7gr6Zofy1wfJLlSQ4AXgIcOuCMkiRJkkbc4mEHGLQkewMvBD6ZZNfkPSdbpqo+m+R5wFeAzcBXgZ2DzClJkiRp9M37AovmKN0PqurI6SxUVX8E/BFAko8DN3cfTZIkSdJ8Mu9PEayq+4Fbk7wOII3nTLZMkkVJ9m8fPxt4NvDZgYeVJEmSNNJSVcPO0KkkFwAvBg4Avge8C/g/wNnAQcAS4MKq+u/taYAXAyuBbcCdVfXMJMuAa9pV3g+cXlXrZ/N9SJIkSRo9867AkiRJkqRhmfenCEqSJEnSbLHAkiRJkqSOzKtRBA844IBavXr1sGNIC9bVV1/9/apaNewcs8l+Rxq+hdj3SJq75lWBtXr1atatWzfsGNKCleTbw84w2+x3pOFbiH2PpLnLUwQlSZIkqSMWWJIkSZLUEQssSZIkSeqIBZYkSZIkdcQCS5IkSZI6YoElSZIkSR2xwJIkSZKkjlhgSZIkSVJHLLAkSZIkqSMWWJIkSZLUEQssSZIkSeqIBZYkSZIkdcQCS5IkSZI6YoElSZIkSR2Z9QIrybIkX0tybZINSd49Tpsk+UCSjUmuS3LUbOeUNLclOS7JTW0/ceY488ftR5IcmuQLSW5s+6C39izz2CSfS3Jze79yNt+TJEkafcM4grUdeGlVPQc4EjguyTFj2hwPrGlvpwFnz2pCSXNakkXAWTR9xRHAyUmOGNNson5kJ/BfquoZwDHAGT3Lngl8vqrWAJ9vn0uSJPVt1gusajzQPl3S3mpMsxOB89u2VwD7JTloNnNKmtOOBjZW1S1VtQO4kKbf6DVuP1JVd1TVNQBVtQW4ETi4Z5mPto8/Crx6wO9DkiTNM0O5BivJoiTrgbuAz1XVlWOaHAzc1vN8Ez/ZARq7rtOSrEuybvPmzQPJK2nO6aePmLJNktXAc4FdfdDjq+oOgPb+ceO9uP2OJEmayFAKrKp6qKqOBA4Bjk7yrDFNMt5iE6zr3KpaW1VrV61a1XFSSXNUP33EpG2S7A38HfC2qrp/Oi9uvyNJkiYy1FEEq+oHwL8Ax42ZtQk4tOf5IcDts5NK0gjop4+YsE2SJTTF1ceq6qKeNt/bdTpye39Xx7klSdI8N4xRBFcl2a99/Bjg54Fvjml2CXBKOwrYMcB9u07bkSTgKmBNksOSLAVOouk3eo3bjyQJ8CHgxqp6/zjLvKF9/Abg7wf3FiRJ0ny0eAiveRDw0XYUsD2AT1TVPyY5HaCqzgEuBU4ANgJbgVOHkFPSHFVVO5O8GbgMWAScV1Ub+uxHXgT8GnB9ey0owO9X1aXAe4BPJHkj8B3gdbP0liRJ0jwx6wVWVV1Hc1H52Onn9Dwu4IzZzCVptLQF0aVjpk3Zj1TVlxj/+iyq6m7gZd0mlSRJC8lQr8GSJEmSpPnEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkvSSEpyXJKbkmxMcuY485PkA+3865Ic1TPvvCR3JblhzDJHJrkiyfok65IcPRvvRZIkzR8WWJJGTpJFwFnA8cARwMlJjhjT7HhgTXs7DTi7Z95HgOPGWfX7gHdX1ZHAO9vnkiRJfbPAkjSKjgY2VtUtVbUDuBA4cUybE4Hzq3EFsF+SgwCq6nLgnnHWW8A+7eN9gdsHkl6SJM1bi4cdQJJ2w8HAbT3PNwHP76PNwcAdk6z3bcBlSf6E5guoF47XKMlpNEfFeOITnzid3JIkaZ7zCJakUZRxptVutBnrTcDbq+pQ4O3Ah8ZrVFXnVtXaqlq7atWqKcNKkqSFwwJL0ijaBBza8/wQHn06Xz9txnoDcFH7+JM0pyJKkiT1zQJL0ii6CliT5LAkS4GTgEvGtLkEOKUdTfAY4L6qmuz0QGgKsJ9rH78UuLnL0JIkaf7zGixJI6eqdiZ5M3AZsAg4r6o2JDm9nX8OcClwArAR2Aqcumv5JBcALwYOSLIJeFdVfQj4LeAvkiwGttFeZyVJktQvCyxJI6mqLqUponqnndPzuIAzJlj25Ammfwn46Q5jSpKkBcZTBCVJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJkiRJUkcssCRJkiSpIxZYkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjpigSVJkiRJHZn1AivJoUm+kOTGJBuSvHWcNi9Ocl+S9e3tnbOdU5IkSZKma/EQXnMn8F+q6pokK4Crk3yuqr4xpt0Xq+qVQ8gnSZIkSbtl1o9gVdUdVXVN+3gLcCNw8GznkCRJkqSuDfUarCSrgecCV44z+wVJrk3yT0meOck6TkuyLsm6zZs3DyqqpDkmyXFJbkqyMcmZ48xPkg+0869LclTPvPOS3JXkhnGWe0u73g1J3jfo9yFJkuaXoRVYSfYG/g54W1XdP2b2NcCTquo5wF8Cn55oPVV1blWtraq1q1atGlheSXNHkkXAWcDxwBHAyUmOGNPseGBNezsNOLtn3keA48ZZ70uAE4FnV9UzgT/pPLwkSZrXhlJgJVlCU1x9rKouGju/qu6vqgfax5cCS5IcMMsxJc1dRwMbq+qWqtoBXEhTGPU6ETi/GlcA+yU5CKCqLgfuGWe9bwLeU1Xb23Z3DewdSJKkeWkYowgG+BBwY1W9f4I2B7btSHI0Tc67Zy+lpDnuYOC2nuebePS1nP20GetpwM8muTLJvyZ53niNPDVZkiRNZBijCL4I+DXg+iTr22m/DzwRoKrOAV4LvCnJTuBHwElVVUPIKmluyjjTxvYR/bQZazGwEjgGeB7wiSRPHtv/VNW5wLkAa9eutW+SJEk/NusFVlV9ifF3fHrbfBD44OwkkjSCNgGH9jw/BLh9N9qMt96L2oLqa0keBg4APEwlSZL6MtRRBCVpN10FrElyWJKlwEnAJWPaXAKc0o4meAxwX1XdMcV6Pw28FCDJ04ClwPc7TS5JkuY1CyxJI6eqdgJvBi6j+S29T1TVhiSnJzm9bXYpcAuwEfhr4Ld3LZ/kAuCrwOFJNiV5YzvrPODJ7fDtFwJv8PRkSZI0HcO4BkuSZqwdYfTSMdPO6XlcwBkTLHvyBNN3AK/vMKYkSVpgPIIlSZIkSR2xwJIkSZKkjlhgSZIkSVJHLLAkSZIkqSMWWJIkSZLUEQssSZIkSeqIBZYkSZIkdcQCS5IkSZI6YoElSZIkSR2xwJIkSZKkjlhgSZIkSVJHLLAkSZIkqSMWWJIkSZLUEQssSZIkSeqIBZYkSZIkdcQCS5IkSZI6YoElSZIkSR2xwJI0kpIcl+SmJBuTnDnO/CT5QDv/uiRH9cw7L8ldSW6YYN3vSFJJDhjke5AkSfOPBZakkZNkEXAWcDxwBHBykiPGNDseWNPeTgPO7pn3EeC4CdZ9KPBy4DvdppYkSQuBBZakUXQ0sLGqbqmqHcCFwIlj2pwInF+NK4D9khwEUFWXA/dMsO4/A/4rUIOJLkmS5jMLLEmj6GDgtp7nm9pp023zCEleBXy3qq6dot1pSdYlWbd58+b+U0uSpHnPAkvSKMo408YeceqnzU8aJ8uBPwDeOdWLV9W5VbW2qtauWrVqquaSJGkBscCSNIo2AYf2PD8EuH032vR6CnAYcG2Sb7Xtr0ly4IzTSpKkBcMCS9KckOQxSQ7vs/lVwJokhyVZCpwEXDKmzSXAKe1ogscA91XVHROtsKqur6rHVdXqqlpNU6AdVVV3Tv/dSJKkhcoCS9LQJfkPwHrgM+3zI5OMLZh+rKp2Am8GLgNuBD5RVRuSnJ7k9LbZpcAtwEbgr4Hf7nm9C4CvAocn2ZTkjd2/K0mStBAtHnYASQL+fzQjA/4LQFWtT7J6sgWq6lKaIqp32jk9jws4Y4JlT54qUHsUS5IkaVo8giVpLthZVfcNO4QkSdJMeQRL0lxwQ5JfARYlWQP8Z+ArQ84kSZI0bR7BkjQXvAV4JrAduAC4H3jbMANJkiTtDo9gSRq6qtoK/EGS9zZPa8uwM0mSJO2O3SqwkvzOZPOr6v27F0fSQpTkecB5wIr2+X3Ab1TV1UMNJkmSNE27ewRrRacpJC10HwJ+u6q+CJDkZ4APA88eaipJkqRp2q0Cq6re3XUQSQvall3FFUBVfSmJpwlKkqSRM6NBLpIckuTiJHcl+V6Sv0tySFfhJC0YX0vyP5K8OMnPJfkr4F+SHJXkqGGHkyRJ6tdMB7n4MPBx4HXt89e3014+w/VKWliObO/fNWb6C4ECXjqraSRJknbTTAusVVX14Z7nH0nythmuU9ICU1UvGXYGSZKkLsz0d7C+n+T1SRa1t9cDd0+2QJJDk3whyY1JNiR56zhtkuQDSTYmuc5ThKT5Lcm+Sd6fZF17+9Mk+w47lyRJ0nTN9AjWbwAfBP6sff7ldtpkdgL/paquSbICuDrJ56rqGz1tjgfWtLfnA2e39wO1ecs2brpzC/du3cHK5Us5/MAVrFqxbNAvu+D97ZW38jdfu417HtjBY/deyuuPPpRffv5hw441782xz/t5wA3AL7XPf43mdOPXDCuQ5r8/v2wDH193Ow9s28neyxbzK2ufwNt+4ZnDjiVJGnEzOoJVVd+pqldV1ar29uqq+vYUy9xRVde0j7cANwIHj2l2InB+Na4A9kty0EyyTmXzlm18eePdbHvwYfbfa0+2PfgwX954N5u3bBvkyy54f3vlrbz/nzeyddtDPG7vpWzd9hDv/+eN/O2Vtw472rw2Bz/vT6mqd1XVLe3t3cCThxVG89+fX7aBcy7/NtsffIh9l+3B9gcf4pzLv82fX7Zh2NEkSSNupqMIvi/JPkmWJPl8ku+3pwn2u/xq4LnAlWNmHQzc1vN8E48uwjp1051b2HvPxey152KSsNeei9l7z8XcdKcjRQ/S33ztNvZeupj99lrKHosWsd9eS9l76WL+5mu3Tb2wdtsc/Lz/qP3tKwCSvAj40bDCaP77+Lrb2XPJHqxYtoRFixazYtkS9lyyBx9fd/uwo0mSRtxMr8F6RVXdD7ySpgh6GvC7/SyYZG/g74C3tet4xOxxFqkJ1nParus2Nm/e3H/yMe7duoPlSxc9YtrypYu4d+uO3V6npnbPAzvYZ9kjt/s+yxZxzwNu90Gag5/3NwFnJflWkm/TnHp8+rDCaP57YNtOli955J+a5UvCA9t2DimRJGm+mGmBtaS9PwG4oKru6WehJEtoiquPVdVF4zTZBBza8/wQYNyvFavq3KpaW1VrV61a1X/yMVYuX8rWHQ89YtrWHQ+xcvnS3V6npvbYvZdy/7ZHbvf7tz3EY/d2uw/SXPu8V9X6qnoO8Gzgp6rquVV17VDCaEHYe9litj74yO/ttj5Y7L1sppcmS5IWupn+JfmHJN+kOZXnt5OsAia9iCNJgA8BN1bV+ydodgnw5iQX0gxucV9V3THDrJM6/MAVfHljMwDi8qWL2LrjIR7YvpPnHLr/IF92wXv90Yfy/n/eCDRHru7f9hAP7NjJaceuHm6weW6ufN6T/M4E0wGYpI+QZuRX1j6Bcy7/NvAgy5eErQ8W2x98mFNfcOiUy0qSNJmZDnJxJvACYG1VPQhspRmgAoAk4/3g8ItoRgh7aZL17e2EJKcn2XVK0KXALcBG4K+B355Jzn6sWrGMFz11f5Yt2YO7f7idZUv24EVP3d9RBAfsl59/GL/z809l+bJF3PXADpYvW8Tv/PxTHUVwwObQ533FFLcJJTkuyU3tzzmcOc78CX/uIcl5Se5KcsOYZf44yTfb9hcn2W/mb1Fz0dt+4ZmcfuyT2HPJIu7b9jB7LlnE6cc+yVEEJUkzlqpxL23qZuXJNVU1a79htXbt2lq3bt1svZykMZJcXVVrZ+F1FgH/Bryc5pTiq4CTe3/uIckJwFtoTmF+PvAXVfX8dt6xwAM0o5U+q2eZVwD/p6p2JnkvQFX93mRZ7Hek4ZutvkeS+jHTa7CmMt5gFZL0CLsxIunRwMZ2SPcdwIX0HD1vTfhzD1V1OfCoa0ar6rNVtWuUgytorv+UJEnq26ALrMEdHpM0n0x3RNJ+fsphpj/38BvAP403o6vRSyVJ0vwz6AJLkvox3RFJ+/kph75/7uFRK0/+ANgJfGy8+V2NXipJkuafGY0imGQZzQAUP0Oz4/Il4Oyq2jWS4LdmlE7SQjHdEUn7+SmHvn/uoVeSN9AcSXtZDfIiVUmSNC/N9AjW+cAzgb+k+WHQZwD/a9fMqnrNDNcvaQHYjRFJrwLWJDksyVLgJJqfd+h1CXBKO5rgMfTxcw9JjgN+D3hVVW2d0ZuSJEkL0kx/B+vw9sdBd/lCEn8cVNK0VdW9PY9/CPywZ/Z7gc/1zN+Z5M3AZcAi4Lyq2rDrpx6q6hyan3s4gebnHrYCp+5aPskFwIuBA5JsAt5VVR+i+aJoT+Bz7W9xXVFVu34+QpIkaUozLbC+nuSYdoQukjwf+PLMY0nSIzzqeqqqupSmiOqddk7P4wLOGG9lVXXyBNOfOrOYkiRpodutAivJ9TTXXC2hOQXnO+3zJwHfmGxZSdoNXgslSZJGwu4ewXplpykkSZIkaR7YrQKrqr7ddRBJC5cjkkqSpPliptdgSVIXzge20IxICnAyzYikrwNHJJUkSaPDAkvSXOCIpJIkaV6Y6e9gSVIXvt7+VhXgiKSSJGl0eQRL0tA4IqkkSZpvLLAkDZMjkkqSpHnFAkvS0DgiqSRJmm+8BkuSJEmSOmKBJUmSJEkdscCSJEmSpI5YYEmSJElSRyywJEmSJKkjFliSJEmS1BELLEmSJEnqiAWWJEmSJHXEAkvSSEpyXJKbkmxMcuY485PkA+3865Ic1TPvvCR3JblhzDKPTfK5JDe39ytn471IkqT5wwJL0shJsgg4CzgeOAI4OckRY5odD6xpb6cBZ/fM+whw3DirPhP4fFWtAT7fPpckSeqbBZakUXQ0sLGqbqmqHcCFwIlj2pwInF+NK4D9khwEUFWXA/eMs94TgY+2jz8KvHoQ4SVJ0vxlgSVpFB0M3NbzfFM7bbptxnp8Vd0B0N4/brxGSU5Lsi7Jus2bN08ruCRJmt8ssCSNoowzrXajzW6pqnOram1VrV21alUXq5QkSfOEBZakUbQJOLTn+SHA7bvRZqzv7TqNsL2/a4Y5JUnSAmOBJWkUXQWsSXJYkqXAScAlY9pcApzSjiZ4DHDfrtP/JnEJ8Ib28RuAv+8ytCRJmv8ssCSNnKraCbwZuAy4EfhEVW1IcnqS09tmlwK3ABuBvwZ+e9fySS4AvgocnmRTkje2s94DvDzJzcDL2+eSJEl9WzzsAJK0O6rqUpoiqnfaOT2PCzhjgmVPnmD63cDLOowpSZIWGI9gSZIkSVJHLLAkSZIkqSMWWJIkSZLUEQssSZIkSeqIBZYkSZIkdcQCS5IkSZI6YoElSZIkSR0ZSoGV5LwkdyW5YYL5L05yX5L17e2ds51RkiRJkqZrWD80/BHgg8D5k7T5YlW9cnbiSJIkSdLMDeUIVlVdDtwzjNeWJEmSpEGZy9dgvSDJtUn+Kckzhx1GkiRJkqYyrFMEp3IN8KSqeiDJCcCngTXjNUxyGnAawBOf+MRZCyhJkiRJY83JI1hVdX9VPdA+vhRYkuSACdqeW1Vrq2rtqlWrZjWnJEmSJPWakwVWkgOTpH18NE3Ou4ebSpIkSZImN5RTBJNcALwYOCDJJuBdwBKAqjoHeC3wpiQ7gR8BJ1VVDSOrJEmSJPVrKAVWVZ08xfwP0gzjLkmSJEkjY06eIihJkiRJo8gCS9JISnJckpuSbExy5jjzk+QD7fzrkhw11bJJjkxyRZL1Sda114BKkiT1zQJL0shJsgg4CzgeOAI4OckRY5odT/PzDmtofsrh7D6WfR/w7qo6Enhn+1ySJKlvFliSRtHRwMaquqWqdgAXAieOaXMicH41rgD2S3LQFMsWsE/7eF/g9kG/EUmSNL/M1R8alqTJHAzc1vN8E/D8PtocPMWybwMuS/InNF9AvXC8F/cHziVJ0kQ8giVpFGWcaWN/ymGiNpMt+ybg7VV1KPB24EPjvbg/cC5JkiZigSVpFG0CDu15fgiPPp1vojaTLfsG4KL28SdpTieUJEnqmwWWpFF0FbAmyWFJlgInAZeMaXMJcEo7muAxwH1VdccUy94O/Fz7+KXAzYN+I5IkaX7xGixJI6eqdiZ5M3AZsAg4r6o2JDm9nX8OcClwArAR2AqcOtmy7ap/C/iLJIuBbbTXWUmSJPXLAkvSSKqqS2mKqN5p5/Q8LuCMfpdtp38J+Oluk0qSpIXEUwQlSZIkqSMWWJIkSZLUEQssSZIkSeqIBZYkSZIkdcQCS5IkSZI6YoElSZIkSR2xwJIkSZKkjlhgSZIkSVJHLLAkSZIkqSMWWJIkSZLUEQssSZIkSeqIBZYkSZIkdcQCS5IkSZI6YoElSZIkSR2xwJIkSZKkjlhgSZIkSVJHLLAkSZIkqSMWWJJGUpLjktyUZGOSM8eZnyQfaOdfl+SofpZN8pZ23oYk75uN9yJJkuaPxcMOIEnTlWQRcBbwcmATcFWSS6rqGz3NjgfWtLfnA2cDz59s2SQvAU4Enl1V25M8bvbelSRJmg88giVpFB0NbKyqW6pqB3AhTWHU60Tg/GpcAeyX5KApln0T8J6q2g5QVXfNxpuRJEnzhwWWpFF0MHBbz/NN7bR+2ky27NOAn01yZZJ/TfK88V48yWlJ1iVZt3nz5hm8DUmSNN9YYEkaRRlnWvXZZrJlFwMrgWOA3wU+keRR7avq3KpaW1VrV61a1X9qSZI073kNlqRRtAk4tOf5IcDtfbZZOsmym4CLqqqAryV5GDgA8DCVJEnqi0ewJI2iq4A1SQ5LshQ4CbhkTJtLgFPa0QSPAe6rqjumWPbTwEsBkjyNphj7/sDfjSRJmjc8giVp5FTVziRvBi4DFgHnVdWGJKe3888BLgVOADYCW4FTJ1u2XfV5wHlJbgB2AG9oj2ZJkiT1xQJL0kiqqktpiqjeaef0PC7gjH6XbafvAF7fbVJJkrSQeIqgJEmSJHXEAkuSJEmSOmKBJUmSJEkdscCSJEmSpI4MpcBKcl6Su9qRusabnyQfSLIxyXVJjprtjJIkSZI0XcM6gvUR4LhJ5h8PrGlvpwFnz0ImSZIkSZqRoRRYVXU5cM8kTU4Ezq/GFcB+SQ6anXSSJEmStHvm6jVYBwO39Tzf1E57lCSnJVmXZN3mzZtnJZwkSZIkjWeuFlgZZ1qN17Cqzq2qtVW1dtWqVQOOJUmSJEkTm6sF1ibg0J7nhwC3DymLJEmSJPVlrhZYlwCntKMJHgPcV1V3DDuUJEmSJE1m8TBeNMkFwIuBA5JsAt4FLAGoqnOAS4ETgI3AVuDUYeSUJEmSpOkYSoFVVSdPMb+AM2YpjiRJkiR1Yq6eIihJkiRJI8cCS5IkSZI6YoElSZIkSR2xwJIkSZKkjlhgSRpJSY5LclOSjUnOHGd+knygnX9dkqOmsew7klSSAwb9PiRJ0vxigSVp5CRZBJwFHA8cAZyc5IgxzY4H1rS304Cz+1k2yaHAy4HvDPhtSJKkecgCS9IoOhrYWFW3VNUO4ELgxDFtTgTOr8YVwH5JDupj2T8D/itQA38XkiRp3rHAkjSKDgZu63m+qZ3WT5sJl03yKuC7VXXtZC+e5LQk65Ks27x58+69A0mSNC9ZYEkaRRln2tgjThO1GXd6kuXAHwDvnOrFq+rcqlpbVWtXrVo1ZVhJkrRwWGBJGkWbgEN7nh8C3N5nm4mmPwU4DLg2ybfa6dckObDT5JIkaV6zwJI0iq4C1iQ5LMlS4CTgkjFtLgFOaUcTPAa4r6rumGjZqrq+qh5XVaurajVNIXZUVd05a+9KkiSNvMXDDiBJ01VVO5O8GbgMWAScV1Ubkpzezj8HuBQ4AdgIbAVOnWzZIbwNSZI0D1lgSRpJVXUpTRHVO+2cnscFnNHvsuO0WT3zlJIkaaHxFEFJkiRJ6kiaL3nnhySbgW93sKoDgO93sJ5hMPtwmL3xpKpaUMPqJdkC3DTsHOOYq5/JuZhrLmaCuZlrLmYCOLyqVgw7hCTBPDtFsKsduyTrqmptF+uabWYfDrMvaDfNxe03V/9d52KuuZgJ5mauuZgJmlzDziBJu3iKoCRJkiR1xAJLkiRJkjpigTW+c4cdYAbMPhxmX7jm6vYzV//mYiaYm7nmYiaYu7kkLUDzapALSZIkSRomj2BJkiRJUkcssCRJkiSpIwu6wEryrSTXJ1k/3hCvaXwgycYk1yU5ahg5x9NH9hcnua+dvz7JO4eRczxJ9kvyqSTfTHJjkheMmT+Xt/tU2efkdk9yeE+m9UnuT/K2MW3m7HafTUmOS3JTux3OHGf+hNspyXlJ7kpywwTrfkeSSnLAXMiU5C3tejcked90Mg0qV5Ijk1yxq29LcvRsZEpyaJIvtP+vNyR5a88yj03yuSQ3t/crp5NpgLn+uO2LrktycZL9hp2pZ9nd+qwPMtdMP++S1LeqWrA34FvAAZPMPwH4JyDAMcCVw848jewvBv5x2DknyPZR4Dfbx0uB/UZou0+Vfc5u956Mi4A7aX4UeCS2+yxvm38Hntz++14LHNHvdgKOBY4Cbhhn3YcCl9H8GPqE/3dnKxPwEuCfgT3b54+bC9sK+CxwfM/y/zIbmYCDgKPaxyuAf9u1LPA+4Mz28ZnAe2drW02R6xXA4vbxe6eTa1CZZvJZH/C2mtHn3Zs3b96mc1vQR7D6cCJwfjWuAPZLctCwQ42yJPvQ7Fh9CKCqdlTVD8Y0m5Pbvc/so+BlwL9X1bfHTJ+T232WHQ1srKpbqmoHcCHNduk14XaqqsuBeyZY958B/xWY7shCg8r0JuA9VbW9bXfXHMlVwD7t432B22cjU1XdUVXXtNm2ADcCB/cs89H28UeBV08j08ByVdVnq2pnu/wVwCHDztTa3c/6IHPN9PMuSX1b6AVWAZ9NcnWS08aZfzBwW8/zTTzyj8gwTZUd4AVJrk3yT0meOZvhJvFkYDPw4SRfT/I/k+w1ps1c3e79ZIe5ud17nQRcMM70ubrdZ1M/22Da2ynJq4DvVtW1cyUT8DTgZ5NcmeRfkzxvjuR6G/DHSW4D/gT4b7OdKclq4LnAle2kx1fVHQDt/eOmkWmQuXr9Bs1RnaFmmuFnfWC5mPnnXZL6ttALrBdV1VHA8cAZSY4dMz/jLDNXxrWfKvs1NKeAPQf4S+DTs5xvIotpTgs6u6qeC/yQ5pSbXnN1u/eTfa5udwCSLAVeBXxyvNnjTJsL23029bMNprWdkiwH/gDY3evxOs/UWgyspDnF6neBTyQZbz2znetNwNur6lDg7bRHjGcrU5K9gb8D3lZV90/jtYeWK8kfADuBjw0zUwef9YHkaifP9PMuSX1b0AVWVd3e3t8FXExzakKvTTTnku9yCNM7XWVgpspeVfdX1QPt40uBJbtzsfEAbAI2VdWubxU/RVO0jG0zF7f7lNnn8Hbf5Xjgmqr63jjz5up2n039bIPpbqenAIcB1yb5Vtv+miQHDjHTrmUuak+z+hrwMDCdz+qgcr0BuKh9/Eke3S8PLFOSJTQ75h+rqot62nxv16mN7f10Ty8bVC6SvAF4JfCrVTWdL0QGkWmmn/VB5dq1zEw+75LUtwVbYCXZK8mKXY9pLhYeO8rWJcAp7YhFxwD37TpNZJj6yZ7kwF3fzqUZhWsP4O7ZzjpWVd0J3Jbk8HbSy4BvjGk2J7d7P9nn6nbvcTLjnx4Ic3S7z7KrgDVJDmuP9p1Es116TWs7VdX1VfW4qlpdVatpdvSOaj9PQ8nU+jTwUoAkT6MZUOD7fWYaZK7bgZ9rH78UuHk2MrX/bz8E3FhV7x9nmTe0j98A/P00Mg0sV5LjgN8DXlVVW4edqYPP+kBytT7NzD7vktS/mgMjbQzjRnM9zbXtbQPwB+3004HT28cBzqIZ0eh6YO2wc08j+5vbedfSXPz8wmHn7sl/JLAOuI7mj97KUdjufWafy9t9OU2xt2/PtJHY7rO8nU6gGX3s36fbL9AUr3cAD9LsXL5xnPV/i+mPrNZ5JpodzL+h+XLmGuClc2FbAT8DXN3+H7oS+OnZyNS+brX/t9e3txPaefsDn6cp9j4PPHa2ttUUuTbSXIu0a/o5w84008/6ALfVjD/v3rx589bvLVUL7RILSZIkSRqMBXuKoCRJkiR1zQJLkiRJkjpigSVJkiRJHbHAkiRJkqSOWGBJC0iS85LclWTsTxKM1/bYJNck2ZnktWPmvTfJDe3tlweXWJIkabRYYEkLy0eA4/ps+x3g14GP905M8n/R/MDykcDzgd9Nsk9nCSVJkkaYBZZ2W5LV/RwJadt+K8kB01j32iQf2N3XT/LrSZ7Q7+stFFV1OXBP77QkT0nymSRXJ/likqe3bb9VVdcBD49ZzRHAv1bVzqr6Ic3vFfVbtEmdmU4f1Me6/nuSnx9n+ouT/GPP4xf2zPvI2KO7kiRZYGlOqqp1VfWfZ7CKXwcssPpzLvCWqvpp4B3AX03R/lrg+CTL26L5JcChA84oDVRVvbOq/nmKZi8GXjhFG0nSAmeBpZlanOSjSa5L8qkkyydp+5b2mp7rdx0lSbJXe13QVUm+nuTEdnrvt8arknyuXfZ/JPl2z9GwRUn+OsmGJJ9N8pj2G+W1wMeSrE/ymEFugFGWZG+aHcZPJlkP/A/goMmWqarPApcCXwEuAL4K7BxsUmlCU/ZBSY5OclH7+MQkP0qyNMmyJLe00398NCrJcUm+meRLwGvaaauB04G3t/3Kz7arPzbJV5Lc4tEsSRJYYGnmDgfOrapnA/cDvz1J2+9X1VHA2TRHSgD+APg/VfU8miMhf5xkrzHLvattcxRwMfDEnnlrgLOq6pnAD4D/WFWfAtYBv1pVR1bVj2b0Due3PYAftNtp1+0ZUy1UVX/Utn05EODmgSeVxtdPH3QN8Nz28c8CNwDPo7mG8MrehkmWAX8N/Ie27YHQnDILnAP8WfvZ/2K7yEHAzwCvBN7T2buSJI0sCyzN1G1V9eX28d/Q7GhM5KL2/mpgdfv4FcCZ7dGTfwGW8cgCinadFwJU1WeAe3vm3VpV68dZr/pQVfcDtyZ5HUAaz5lsmSSLkuzfPn428GzgswMPK41vyj6oqnYCG5M8AzgaeD9wLE0B9cUxzZ9O06/cXFXVrnMyn66qh6vqG8DjZ/A+JEnzxOJhB9DIqyme99re3j/ETz57oTnqdFNvwyS9OyrpY5271uvpgJNIcgHNdSQHJNlEc3TwV4Gzk/zfwBKaYvbaJM+jOWK4EvgPSd7dHilcAnwxCTRHDF7f7sBKw9BvH/RF4HjgQeCfaUbUXMRPjqb3s47x9PZBk/VVkqQFwgJLM/XEJC+oqq8CJwNfmubyl9Fcm/WWqqokz62qr49p8yXgl4D3JnkFzQ7/VLYAK6aZZd6rqpMnmPWoUQCr6irgkHGmb6MZSVCaC/rtgy4HzgfOr6rN7VHYA4ENY9p9EzgsyVOq6t/bde6yBfAnCSRJk/IUQc3UjcAbklwHPJbm+qrp+EOaIyLXtcMt/+E4bd4NvCLJNTTfQN9Bs6MzmY8A5zjIhTTv9dsHXUlzCt/l7fPrgOva0wB/rP0C4TTgf7eDXHy7Z/Y/AL84ZpALSZIeIWP+tkhzTpI9gYeqameSFwBnV9WRQ44lSZIkPYqnCGoUPBH4RJI9gB3Abw05jyRJkjQuj2CpU0kuBg4bM/n3quqyYeSRtLDYB0mShs0CS5IkSZI64iAXkiRJktQRCyxJkiRJ6ogFliRJkiR1xAJLkiRJkjry/wdniZHu7scyIAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -1258,7 +1259,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "\r", + "\r\n", " 0%| | 0/10 [00:00" ] @@ -2761,7 +2762,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1gAAAI4CAYAAAB3HEhGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABVeUlEQVR4nO39fbwdZX3v/7/eJITbCClEQEBDgaJoMdKIKK0VbS2gR6y1LXy1eNfyxYqn2mOPnPZb/bX9+fiivdVi4dCKyqmFWquUHmnReqwogiVguBOpEVAiSCJiCAKJgc/3j5noYrNvVrJn3ey9X8/HYz32mmuumfmsa8++9nzWzFyTqkKSJEmSNHs7jToASZIkSZovTLAkSZIkqSMmWJIkSZLUERMsSZIkSeqICZYkSZIkdWTxqAPo0r777lsrVqwYdRjSgnXttdd+p6qWjzqOYbLfkUbPvkfSKEzV98yrBGvFihWsXr161GFIC1aSb4w6hmGz35FGz75H0ihM1fd4iaAkSZIkdcQES5IkSZI6YoIlSZIkSR0xwZIkSZKkjphgSZIkSVJHTLAkSZIkqSMmWJIkSZLUERMsSZIkSeqICZYkSZIkdcQES5IkSZI6YoIlSZIkSR0xwZIkSZKkjphgSZIkSVJHTLAkSZIkqSMmWJIkSZLUkcWDXHmSE4D3AouAv6mqsyfMfxXw9nbyAeCNVXV9P8sOws+9+3LW3rf1h9OHLVvMv739Fwa92QVvxVmffFzZHWe/ZASRLCwLcX9PcgHwUmB9VT1jkvlT9kmDdMhZn6R64wBuH+DfwFVr13PJmru4Z+Nm9ttrF16+8kk897AnDmx748q+pzHs/WHY+/uw9HHMswy4ADgUeBh4fVXd1M77LeA3aJrjr6vqL4YYuobMvmf+G9gZrCSLgPcDJwJHAqcmOXJCtduBn62qo4A/As7fjmU7NfFgE2DtfVv5uXdfPsjNLniTdTLTlasbC3h//xBwwjTzJ+2TBmniwSZAteWDcNXa9Zzz2a+z6eFHOHDvXdn08COc89mvc9Xa9QPZ3riy72kMe38Y9v4+LH0et/wusKbtX06jScZI8gya5OoY4JnAS5McPqzYNVz2PQvDIC8RPAZYW1W3VdUW4GLg5N4KVfXFqrqvnbwaOKjfZbs28WBzpnJpLluo+3tVXQF8d5r5U/VJg4tpO8tn65I1d7HXbkvYZ88l7LRoJ/bZcwl77baES9bcNaAtapwNe38Y9v4+RP0ctxwJfAagqr4KrEiyH/A04OqqerCqtgKfA35xeKFL6togE6wDgTt7pte1ZVN5A/Av27tsktOTrE6yesOGDbMIV5Ieo7dPeoy53O/cs3Ezy3Z77NXhy3ZbzD0bN48oIo2S+0Nn+jluuR54BUCSY4Cn0HyJcxPw/CT7JNkdOAk4eLKNzOW+R1pIBplgZZKySb+kSnI8zcHMtnsf+l62qs6vqlVVtWr58uU7FKgk9ZqkT3qMudzv7LfXLtz30GPPVN730Fb222uXEUWkUXJ/6Ew/xy1nA8uSrAHeDHwZ2FpVtwDvBj4N/CtNIjbp5QRzue+RFpJBJljreOw3MAcBj7vmIMlRwN8AJ1fVvduzbJcOWzb5eB9TlUtzmfv71Kbokwa3ve0sn62Xr3wSGx/awr0PbOHRRx7l3ge2sPGhLbx85ZMGtEWNs2HvD8Pe34doxuOWqrq/ql5XVStp7sFaTnPfJ1X1gao6uqqeT3MZ89eGErWkgRhkgnUNcHiSQ5IsAU4BLu2tkOTJwMeBX6uq/9yeZbv2b2//hccdXC6EUdVGbapRcxxNZ7Dc3yc3TZ80MLef/ZLHHVwOclS15x72RM48/lCW7rqIb33vYZbuuogzjz90wY0iaN/TGPb+MOz9fYj6OebZu50H8OvAFVV1fzvvie3PJ9NcRnjR0CLXUNn3LAypGtytpUlOAv6CZsjSC6rqXUnOAKiq85L8DfBLwDfaRbZW1aqplp1pe6tWrarVq1d3/jkk9SfJtdv+hsdRkouAFwD7AvcA7wR2hpn7pKnY70ijNw59Tx/HPM8FLgQeAb4CvGHboDpJPg/sA/wA+O2q+sxM27PvkUZvqr5noAnWsNnZSKM1Dgc5w2a/I42efY+kUZiq7xnkJYKSJEmStKCYYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1JHFow5Akha6DZse5tZvb+K+B7ewbPclHLH/UpYv3XXUYc17tvto2O6S5jvPYEnSCG3Y9DBXrr2Xh3/wKPvssQsP/+BRrlx7Lxs2PTzq0OY12300bHdJC4EJliSN0K3f3sSeuyxmj10Wk4Q9dlnMnrss5tZvbxp1aPOa7T4atrukhcAES5JG6L4Ht7D7kkWPKdt9ySLue3DLiCJaGGz30bDdJS0EJliSNELLdl/Cg1seeUzZg1seYdnuS0YU0cJgu4+G7S5pITDBkqQROmL/pTyweSvf37yVquL7m7fywOatHLH/0lGHNq/Z7qNhu0taCEywJGmEli/dleMO24ddd96Je7+/mV133onjDtvHUdUGzHYfDdtd0kLgMO2SNGLLl+7qAeYI2O6jYbtLmu88gyVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIwNNsJKckOTWJGuTnDXJ/KcmuSrJ5iRvmzDvjiQ3JlmTZPUg45S0MCS5IMn6JDdNMX/KPkmSptPHMc+yJJ9IckOS/0jyjJ55b01yc5KbklyUZNfhRi+pSwNLsJIsAt4PnAgcCZya5MgJ1b4L/FfgT6ZYzfFVtbKqVg0qTkkLyoeAE6aZP1OfJEmP0+cxz+8Ca6rqKOA04L3tsgfS9DurquoZwCLglGHFLql7gzyDdQywtqpuq6otwMXAyb0Vqmp9VV0D/GCAcUgSAFV1BU0SNdV8+yRJO2LGYx6axOszAFX1VWBFkv3aeYuB3ZIsBnYH7hpO2JIGYZAJ1oHAnT3T69qyfhXwqSTXJjl9qkpJTk+yOsnqDRs27GCoktQ/+x1JE/RzzHM98AqAJMcATwEOqqpv0Zw1/yZwN7Cxqj412Ubse6S5YZAJViYpq+1Y/riqOprmdPubkjx/skpVdX5VraqqVcuXL9+ROCVpu9jvSJqgn2Oes4FlSdYAbwa+DGxNsozmbNchwJOAPZK8erKN2PdIc8MgE6x1wME90wexHae8q+qu9ud64BM0p98lSZLGzYzHPFV1f1W9rqpW0tyDtRy4Hfg54Paq2lBVPwA+DjxvKFFLGohBJljXAIcnOSTJEpobNi/tZ8EkeyRZuu098GJg0lG/JEmSRmzGY54ke7fzAH4duKKq7qe5NPDYJLsnCfAi4JYhxi6pY4sHteKq2prkTOBymhFxLqiqm5Oc0c4/L8n+wGrgCcCjSd5CcxPovsAnmn6GxcDfVdW/DipWSQtDkouAFwD7JlkHvBPYGabvk9qDIEmaVD/HPMDTgAuTPAJ8BXhDO+9LST4GXAdspbl08PwRfAxJHRlYggVQVZcBl00oO6/n/bdpTqNPdD/wzEHGJmnhqapTZ5g/VZ8kSdPq45jnKuDwKZZ9J80XPpLmgYE+aFiSJEmSFhITLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSppBkWZKjRh2HpLnDBEuSJKlHkn9P8oQkPwZcD3wwyZ+NOi5Jc4MJliRJ0mPtVVX3A68APlhVPwX83IhjkjRHmGBJkiQ91uIkBwC/AvzvUQcjaW4xwZIkSXqsPwQuB75eVdck+XHgayOOSdIcsXjUAUiSJI2TqvoH4B96pm8Dfml0EUmaSzyDJUmS1CPJQUk+kWR9knuS/GOSg0Ydl6S5oe8EK8mPJVk2yGAkSZLGwAeBS4EnAQcC/9yWSdKMpk2wkjw5ycVJNgBfAq5pv825OMmKmVae5IQktyZZm+SsSeY/NclVSTYnedv2LCtp4Uny0fbnjUlu6HndmOSGPpa/oO3DbppifpK8r+13bkhydNefQdKcsLyqPlhVW9vXh4Dl0y3QxzHPsvas2A1J/iPJM9ryI5Ks6Xndn+QtA/lUkoZipnuw/h74C+BVVfUIQJJFwC8DFwPHTrVgW+/9wM8D62iSs0ur6is91b4L/Ffg5TuwbOdWnPXJx5XdcfZLBrlJYbuPyhxt999qf750B5f/EHAOcOEU808EDm9fzwHObX8O1HS/i6vWrueSNXdxz8bN7LfXLrx85ZN47mFPnNX2Xvbnn+GGex7+4fRR++3KpW990azW2Y9BfJbZGLe/gVG1zyD2h+k+y7i1+xS+k+TVwEXt9KnAvVNV7vO45XeBNVX1i0me2tZ/UVXdCqzsWc+3gE90/HkmtWHTw9z67U3c9+AWlu2+hCP2X8rypbsOY9ML2hz5G5h3hrm/z3SJ4L5V9ffbkiuAqnqkqi4G9plh2WOAtVV1W1VtoUnITu6tUFXrq+oa4Afbu2zXJtvZpytXN2z30Zir7V5Vd7c/vzHZq4/lr6D5YmcqJwMXVuNqYO92qOaBme53cdXa9Zzz2a+z6eFHOHDvXdn08COc89mvc9Xa9Tu8vYkH0wA33PMwL/vzz+zwOvsxiM8yG+P2NzCq9hnE/jDdZxm3dp/G62mGaP92+3plWzaVfo5bjgQ+A1BVXwVWJNlvQp0X0YxcOGN/NlsbNj3MlWvv5eEfPMo+e+zCwz94lCvX3suGTQ/PvLB22Bz6G5hXhr2/z5RgXZvkr5I8J8mT2tdzkvwV8OUZlj0QuLNnel1b1o/ZLCtpnkvyiiRfS7KxvZxmU5L7O1j1WPU9l6y5i712W8I+ey5hp0U7sc+eS9hrtyVcsuauHV7ntoPp9Lx6ywdlEJ9lPhlV+wxif5gPv+uq+mZVvayqlrevl8+Q9PTTd1xP8+BikhwDPAWYOHDGKfzorNlA3frtTey5y2L22GUxSdhjl8Xsuctibv32pmFsXhqqYe/vMyVYpwE3An9A8zyIT7XvbwJ+bYZlM0lZ9RlX38smOT3J6iSrN2zY0OfqJc1x7wFeVlV7VdUTqmppVT2hg/X21fcMq9+5Z+Nmlu322Cu5l+22mHs2bh7YNgdlPn2WQZhP7TMfPkuSH0/yz0k2tPdt/lP7LKwpF5mkbGLfcTawLMka4M00X1Rv7dnmEuBl9AwPP0lcnfU99z24hd2XLHpM2e5LFnHfg1tmtV5pHA17f582waqqLVV1blWdUFU/WVXPaN//VVXN1FOuAw7umT4I6Pfrq76Xrarzq2pVVa1avnza+08lzR/3VNUtA1hvX33PsPqd/fbahfse2vqYsvse2sp+e+0ysG0Oynz6LIMwn9pnnnyWvwM+ChxAM5LgPzD9maUZ+46qur+qXldVK2m+wF4O3N5T5UTguqq6Z6qNdNn3LNt9CQ9ueeQxZQ9ueYRluy+Z1XqlcTTs/X2mUQT/sh1Ra9LXDOu+Bjg8ySHttzKn0Ax52o/ZLCtpnmovDXwFsDrJ3yc5dVtZWz5blwKntaMJHgts3Hbf1yi8fOWT2PjQFu59YAuPPvIo9z6whY0PbeHlK5+0w+s8ar/mht7qefWWD8ogPst8Mqr2GcT+ME9+16mq/9UziuDfMv1VODMetyTZu50H8OvAFVXVe2nzqQzp8kCAI/ZfygObt/L9zVupKr6/eSsPbN7KEfsvHVYI0tAMe3+f6RLB1cC17etlPe+3vaZUVVuBM2kuLbwF+GhV3ZzkjCRnACTZP8k64LeB/yfJuiRPmGrZHf2Q/Zhq9BZHdRks23005nC7/5f2tRR4EHhxT9mMIwsmuQi4Cjii7W/e0NsnAZcBtwFrgb8GfrP7j/BY0/0unnvYEznz+ENZuusivvW9h1m66yLOPP7QWY0sd+lbX/S4g+dhjCI4iM8yG+P2NzCq9hnE/jDdZxm3dp/GZ5OclWRFkqck+e/AJ9M8E/THJlbu55gHeBpwc5Kv0pyt2jYqKkl2pxmB8OMD/lw/tHzprhx32D7suvNO3Pv9zey6804cd9g+jiI4YHPob2BeGfb+nqr+botK8uWqetZAoujIqlWravXq1aMOQ1qwklxbVauGsJ0PA79VVd9rp5cBf1pV043yNRD2O9Lodd33JLl9mtlVVdPdjzUU9j3S6E3V98z0HKxe/Q5QIUmDdtS25Aqgqu5LMtZfAEmaO6rqkOnmJ/n5qvr0sOKRNLfMdImgJI2jndqzVgC0l+xszxdGkjQb7x51AJLG17QHJEk28aMzV7v3PGcmNKfIuxgWWZK2158CX0zyMZo+6leAd402JEkLyGTDsksSMEOCVVUOJSNp7FTVhUlWAy+kOdB5RVV9ZcRhSVo4vG1C0pS8pEbSnNQmVCZVkiRprJhgSZIk9UiyK81jGn6a5mzVF4Bzq+rhtsodIwpN0hxggiVJkvRYFwKbgL9sp08F/hfwywBV1cWDzSXNUyZYkiRJj3VEVT2zZ/qzSa4fWTSS5hSHaZckSXqsLyc5dttEkucAV44wHklziGewJEmSgCQ30txztTNwWpJvttNPwUF1JPXJBEuSJKnx0lEHIGnuM8GSJEkCquobo45B0tznPViSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOjLQBCvJCUluTbI2yVmTzE+S97Xzb0hydM+8O5LcmGRNktWDjFPSwtBHn7QsySfa/ug/kjxjFHFKmntm078k2TvJx5J8NcktSZ473OgldWlgCVaSRcD7gROBI4FTkxw5odqJwOHt63Tg3Anzj6+qlVW1alBxSloY+uyTfhdYU1VHAacB7x1ulJLmog76l/cC/1pVTwWeCdwy+KglDcogz2AdA6ytqtuqagtwMXDyhDonAxdW42pg7yQHDDAmSQtXP33SkcBnAKrqq8CKJPsNN0xJc9AO9y9JngA8H/hAO29LVX1vaJFL6twgE6wDgTt7pte1Zf3WKeBTSa5NcvpUG0lyepLVSVZv2LChg7AlzVP99EnXA68ASHIM8BTgoIkrst+RNMFs+pcfBzYAH0zy5SR/k2SPyTZi3yPNDYNMsDJJWW1HneOq6mia0+1vSvL8yTZSVedX1aqqWrV8+fIdj1bSfNdPn3Q2sCzJGuDNwJeBrY9byH5H0mPNpn9ZDBwNnFtVzwK+DzzuHi6w75HmisUDXPc64OCe6YOAu/qtU1Xbfq5P8gma0+9XDCxaSfPdjH1SVd0PvA6aQXiA29uXJE1nNv3L7sC6qvpSW/VjTJFgSZobBnkG6xrg8CSHJFkCnAJcOqHOpcBp7WiCxwIbq+ruJHskWQrQniZ/MXDTAGOVNP/N2Ce1I3ktaSd/HbiiPSiSpOnscP9SVd8G7kxyRDvvRcBXhhW4pO4N7AxWVW1NciZwObAIuKCqbk5yRjv/POAy4CRgLfAg7Tc7wH7AJ5oveFgM/F1V/eugYpU0//XZJz0NuDDJIzQHOG8YWcCS5owO+pc3Ax9pE7Db+NHxkKQ5aJCXCFJVl9EkUb1l5/W8L+BNkyx3G80wpZLUmT76pKtoHhshSdtlNv1LVa0BfCSNNE8M9EHDkiRJkrSQmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktSRxaMOQJIWug2bHubWb2/ivge3sGz3JRyx/1KWL9111GHNe7b7aNjukuY7z2BJ0ght2PQwV669l4d/8Cj77LELD//gUa5cey8bNj086tDmNdt9NGx3SQuBCZYkjdCt397EnrssZo9dFpOEPXZZzJ67LObWb28adWjzmu0+Gra7pIXABEuSRui+B7ew+5JFjynbfcki7ntwy4giWhhs99Gw3SUtBCZYkjRCy3ZfwoNbHnlM2YNbHmHZ7ktGFNHCYLuPhu0uaSEwwZKkETpi/6U8sHkr39+8lari+5u38sDmrRyx/9JRhzav2e6jYbtLWghMsCRphJYv3ZXjDtuHXXfeiXu/v5ldd96J4w7bx1HVBsx2Hw3bXdJC4DDtkjRiy5fu6gHmCNjuo2G7S5rvPIMlSZIkSR0xwZIkSZKkjphgSZIkSVJHTLAkSZIkqSMmWJIkSZLUERMsSZIkSeqICZYkSZIkdcQES5IkSZI6YoIlSZIkSR0xwZIkSZKkjphgSZIkSVJHTLAkSZIkqSMmWJIkSZLUERMsSZIkSeqICZYkSZIkdcQES5IkSZI6YoIlSZIkSR0xwZIkSZKkjphgSZIkSVJHTLAkSZIkqSOLB7nyJCcA7wUWAX9TVWdPmJ92/knAg8Brq+q6fpYdhJ979+WsvW/rD6cPW7aYf3v7Lwx6swveirM++biyO85+yQgiWVgW4v7eR5+0F/C3wJNp+sc/qaoPDjquQ876JNUbB3D7AP8Grlq7nkvW3MU9Gzez31678PKVT+K5hz1xYNsbV/Y9jWHvD8Pe34elj/5lGXABcCjwMPD6qrqpnXcHsAl4BNhaVauGGLqGzL5n/hvYGawki4D3AycCRwKnJjlyQrUTgcPb1+nAuduxbKcmHmwCrL1vKz/37ssHudkFb7JOZrpydWMh7u999itvAr5SVc8EXgD8aZIlg4xr4sEmQLXlg3DV2vWc89mvs+nhRzhw713Z9PAjnPPZr3PV2vUD2d64su9pDHt/GPb+Pix99i+/C6ypqqOA02iSsV7HV9VKk6v5zb5nYRjkJYLHAGur6raq2gJcDJw8oc7JwIXVuBrYO8kBfS7bqYkHmzOVS3PZAt3f++lXCljanl3fE/guMNBGmXiwOVP5bF2y5i722m0J++y5hJ0W7cQ+ey5hr92WcMmauwa0RY2zYe8Pw97fh6if/uVI4DMAVfVVYEWS/YYbpqRhGGSCdSBwZ8/0urasnzr9LAtAktOTrE6yesOGDbMOWtK81U+/cg7wNOAu4Ebgt6rq0Ykrmsv9zj0bN7Nst8deHb5st8Xcs3HziCLSKLk/dKaf/uV64BUASY4BngIc1M4r4FNJrk1y+lQbmct9j7SQDDLByiRlE7+kmqpOP8s2hVXnV9Wqqlq1fPny7QxR0gLST7/yC8Aa4EnASuCcJE943EJzuN/Zb69duO+hx56Uu++hrey31y4jikij5P7QmX76l7OBZUnWAG8GvsyPzpAfV1VH01xi+KYkz59sI3O575EWkkEmWOuAg3umD6L5VrifOv0s26nDlk0+3sdU5dJctkD39376ldcBH28vW14L3A48dZBBTXZUNl35bL185ZPY+NAW7n1gC48+8ij3PrCFjQ9t4eUrnzSgLWqcDXt/GPb+PkQz9i9VdX9Vva6qVtLcg7Wcpo+hqu5qf64HPkFzyaGkOWqQCdY1wOFJDmlvEj8FuHRCnUuB09I4FthYVXf3uWyn/u3tv/C4g8uFMKraqE01ao6j6QzWAt3f++lXvgm8CKC9N+II4LZBBnX72S953MHlIEdVe+5hT+TM4w9l6a6L+Nb3Hmbpros48/hDF9wogvY9jWHvD8Pe34doxv4lyd49g+b8OnBFVd2fZI8kS9s6ewAvBm4aYuwaIvuehSFVg7u1NMlJwF/QDFl6QVW9K8kZAFV1Xnsj+TnACTTDtL+uqlZPtexM21u1alWtXr16EB9FUh+SXDvOI2D10Sc9CfgQcADNcd/ZVfW3063TfkcavXHoe/roX54LXEgzFPtXgDdU1X1JfpzmrBU0j4f4O495pLlhqr5noAnWsNnZSKM1Dgc5w2a/I42efY+kUZiq7xnkJYKSJEmStKCYYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHUkVTXqGDqTZAPwjQ5WtS/wnQ7WMwrGPhrG3nhKVS3vaF1zQof9DrgfjYqxj4Z9zyzY9/yQsY+GsTcm7XvmVYLVlSSrq2rVqOPYEcY+GsauLszl34Wxj4axqwtz+Xdh7KNh7NPzEkFJkiRJ6ogJliRJkiR1xARrcuePOoBZMPbRMHZ1YS7/Lox9NIxdXZjLvwtjHw1jn4b3YEmSJElSRzyDJUmSJEkdMcGSJEmSpI4s2AQryQVJ1ie5aYr5eyX55yTXJ7k5yeuGHeNU+oh9WZJPJLkhyX8kecawY5xKkoOTfDbJLW27/tYkdZLkfUnWtp/h6FHEOlGfsT81yVVJNid52yjinEyfsb+qbe8bknwxyTNHEetCkOSEJLe2+/hZk8wfy/0I+op9bPejPmI/uY17TZLVSX56FHFOZqbYe+o9O8kjSV45zPim00e7vyDJxrbd1yR5xyjiXCiSvLX9P3BTkouS7Jrkx5J8OsnX2p/LRh3nZJL8Vhv3zUne0paNZeyTHatNF2uS/9H+jdya5BdGE/UPY5ks9l9u2/3RJKsm1B/32P84yVfb/v0TSfbumTeY2KtqQb6A5wNHAzdNMf93gXe375cD3wWWjDruPmP/Y+Cd7funAp8Zdcw9sR0AHN2+Xwr8J3DkhDonAf8CBDgW+NKo496O2J8IPBt4F/C2Uce8nbE/D1jWvj9xXNp9vr2ARcDXgR8HlgDXz6H9qJ/Yx3I/6jP2PfnRvclHAV8dddz9xt5T7/8AlwGvHHXc29HuLwD+96hjXQgv4EDgdmC3dvqjwGuB9wBntWVnbTv+GacX8AzgJmB3YDHwb8Dh4xo7kxyrTRUrcGT7t7ELcEj7N7NozGJ/GnAE8O/Aqp7yuRD7i4HF7ft3D6PdF+wZrKq6giZpmrIKsDRJaP7pfhfYOozYZtJH7EcCn2nrfhVYkWS/YcQ2k6q6u6qua99vAm6h6fB7nQxcWI2rgb2THDDkUB+nn9iran1VXQP8YAQhTqnP2L9YVfe1k1cDBw03ygXjGGBtVd1WVVuAi2n2+R8a1/2I/mIf1/2on9gfqPa/LrAHzf+BcTBj7K03A/8IrB9mcDPoN3YNz2JgtySLaZKVu2h+Jx9u538YePloQpvW04Crq+rBqtoKfA74RcY09imO1aaK9WTg4qraXFW3A2tp/nZGYrLYq+qWqrp1kupzIfZPtfsMPPb/0sBiX7AJVh/Oofljvgu4Efitqnp0tCH17XrgFQBJjgGewvgc5PxQkhXAs4AvTZh1IHBnz/Q6Hp+EjdQ0sY+9PmN/A81ZRHVv7PfvaWxv7OO0H/UVe5JfTPJV4JPA64cU20xmjD3JgTQHm+cNMa5+9LvPPDfNJfn/kuTpwwlt4amqbwF/AnwTuBvYWFWfAvarqrvbOnfTnEUfNzcBz0+yT5Ldaa52OZi5Efs2U8W6kP4vjNrr+dH/pYHFboI1tV8A1gBPAlYC5yR5wigD2g5nA8uSrKH5RvPLjMnZt22S7EnzTetbqur+ibMnWWRcvkmeKfax1k/sSY6nOTB++zBjW0DGev+eQd+xj+F+1FfsVfWJqnoqzTfLfzTooPrUT+x/Aby9qh4ZfDjbpZ/YrwOeUlXPBP4SuGTQQS1U7T0/J9NcDvUkYI8krx5tVP2pqltoLu/6NPCvNF8mj9WxzSwsiP8Lo5bk92j2mY9sK5qkWiexm2BN7XXAx9vL1NbSXLP81BHH1Jequr+qXldVK4HTaO4hu320Uf1Ikp1pDvI/UlUfn6TKOppvpbY5iOZM4sj1EfvY6if2JEcBfwOcXFX3DjO+BWRs9+8+9BX7mO5H29Xu7WUmhybZd9CB9aGf2FcBFye5A3gl8FdJXj6U6KY3Y+zt/6wH2veXATuPSbvPRz8H3F5VG6rqB8DHae6bvGfbpfjtz3G6zPSHquoDVXV0VT2f5jKwrzFHYm9NFeu8/78wakleA7wUeFXPpeADi90Ea2rfBF4E0N6/dARw20gj6lOSvZMsaSd/HbhiXM60tPe0fQC4par+bIpqlwKnpXEszSUMdw8tyCn0GftY6if2JE+m+Wf7a1X1n8OMb4G5Bjg8ySHt3+kpNPv8XDBj7GO8H/UT+2Ht3wppRi9dAoxDgjhj7FV1SFWtqKoVwMeA36yqS4Ye6eP10+7797T7MTTHJuPQ7vPRN4Fjk+zetvmLaO7JvRR4TVvnNcA/jSi+aSV5YvvzyTS3QlzEHIm9NVWslwKnJNklySE0g3f8xwji2xFjH3uSE2iupnhZVT3YM2tgsS/uYiVzUZKLaEYu2jfJOuCdwM4AVXUezaUhH0pyI80pxLdX1XdGFO5j9BH704ALkzwCfIXmMp1xcRzwa8CN7SWM0IzY+GT4YfyX0VxbvRZ4kOZs4jiYMfYk+wOrgScAj6YZRvbIMUhw+2n3dwD70HzzDbC1qlY9flWajaramuRM4HKaEdYuqKqbk5zRzh/b/aif2BnT/ajP2H+J5sudHwAPAb/a803nyPQZ+1jqM/ZXAm9MspWm3U8Zh3afj6rqS0k+RnNZ5laaWwjOpxnM66NJ3kCThP3y6KKc1j8m2YdmAKA3VdV9Sc5mDGOf4lht0ljbv4mP0hyzbaX5bCO73HeK2L9LcwnvcuCTSdZU1S/Mkdj/B81IgZ9u/y9dXVVnDDL22IdJkiRJUje8RFCSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJJHkgiTrk9zUZ/1fSfKVJDcn+btBxydJkjRXmGCpU0kOSvJPSb6W5LYk5yTZZTvXsSLJ/9VHvZVJTtrxaNXjQ8AJ/VRMcjjNkKfHVdXTgbcMLiypG0kemDD92iTnjCoeSfNHkn2SrGlf307yrZ7pJX0s/+9JRv44C3XHBEudaR9a+HHgkqo6nOaBbbsB79nOVa0AZkywgJU0z8vSLFXVFTTPuPihJIcm+dck1yb5fJKntrN+A3h/Vd3XLrseSZIWqKq6t6pWVtVK4Dzgz7dNV9WWEYenETDBUpdeCDxcVR8EaB/W9laaB3fuleSPk1yT5IYk//c06zkb+Jn2m5+3Jtk1yQeT3Jjky0mOb78R+kPgV9t6vzrwT7fwnA+8uap+Cngb8Fdt+U8AP5HkyiRXt09Il+akJIvas+1JsneSR5M8v533+SSHjTpGSXNPkp9K8rn2S8rLkxwwwyKvTvLFJDclOaZdx549xz83JPmlIYSuDiwedQCaV54OXNtbUFX3J7kD+L+BjVX17PaSwSuTfKqqbp9kPWcBb6uqlwIk+W/tun6yPYvyKZqD/HcAq6rqzIF9ogUqyZ7A84B/aJ96Ds1T0KHpNw6neVL6QcDnkzyjqr435DCl7bFbkjU90z8GXFpVjyT5T+BI4BCaPuxnknwJOKiq1g4/VElzXIC/BE6uqg3tl8DvAl4/zTJ7VNXz2i94LgCeAfw+zbHTTwIkWTbguNUREyx1KUBNUf5i4MlJXtmW7UVzkD5ZgjXRT9N0VFTVV5N8gybB0uDsBHyvvdxhonXA1VX1A+D2JLfS/C6vGWJ80vZ6qHd/TvJaYNs9D58Hnk+TYP2/NJfBfg73aUk7ZheaBOnT7ZeUi4C7Z1jmImgu2U/yhCR7Az8HnLKtwrZL8zX+vERQXbqZHx2wAJDkCcB+wEaay822XZN8SFV9qs/1ZuYq6lJV3U+TPP0yNPfXJXlmO/sS4Pi2fF+aZPe2UcQpdeTzwM8AxwCXAXvTnKG9YnQhSZrDAtzcc8zzk1X14hmWmfgFdTH1F9cacyZY6tJngN2TnAbNvQ3AnwLnAJcDb0yyczvvJ5LsMcV6NgFLe6avAF61bTngycCtk9TTDkpyEXAVcESSdUneQNPmb0hyPU3yfHJb/XLg3iRfAT4L/E5V3TuKuKWOfInmkthHq+phYA3NZc2fH2VQkuaszcDyJM8FSLJzkqfPsMyvtnV/muaywI00t0T88DYILxGcO7xEUJ2pqkryi8D7k/w+sBz4+6p6V5KdaEYHvK4dbXAD8PIpVnUDsLU9sP8QzeAK5yW5EdgKvLaqNif5LHBWe1/F/1tVfz+4Tze/VdWpU8x63AAWVVXAb7cvac5r+5M7gavbos8DpwI3ji4qSXPYo8Argfcl2YvmePsvaL6snMp9Sb4IPIEf3av1/6c5proJeAT4A5rRmjXm0hwrSd1L8jyaa4pfUVXXzlRfkiRJmutMsCRJkiSpI14iqJFJ8pPA/5pQvLmqnjOKeCRJkgYlyfuB4yYUv3fb80M1f3gGS5IkSZI64iiCkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktSReZdgJbkgyfokN/VR9/lJrkuyNckrJ8x7d5Kb2tevDi5iSZIkSfPFvEuwgA8BJ/RZ95vAa4G/6y1M8hLgaGAl8Bzgd5I8obMIJUmSJM1L8y7BqqorgO/2liU5NMm/Jrk2yeeTPLWte0dV3QA8OmE1RwKfq6qtVfV94Hr6T9okSZIkLVDzLsGawvnAm6vqp4C3AX81Q/3rgROT7J5kX+B44OABxyhJkiRpjls86gAGLcmewPOAf0iyrXiX6Zapqk8leTbwRWADcBWwdZBxSpIkSZr75n2CRXOW7ntVtXJ7FqqqdwHvAkjyd8DXug9NkiRJ0nwy7y8RrKr7gduT/DJAGs+cbpkki5Ls074/CjgK+NTAg5UkSZI0p6WqRh1Dp5JcBLwA2Be4B3gn8H+Ac4EDgJ2Bi6vqD9vLAD8BLAMeBr5dVU9PsitwXbvK+4EzqmrNMD+HJEmSpLln3iVYkiRJkjQq8/4SQUmSJEkaFhMsSZIkSerIvBpFcN99960VK1aMOgxpwbr22mu/U1XLRx3HMNnvSKO3EPseSeNrXiVYK1asYPXq1aMOQ1qwknxj1DEMm/2ONHoLse+RNL68RFCSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1JHFw95gkl2BK4Bd2u1/rKreOaFOgPcCJwEPAq+tqusGHdtxf/RJvvX9H00fuAdc+fsvGfRmF7wVZ33ycWV3nG27D9pc39+TnEDTTywC/qaqzp4wf9J+JMnBwIXA/sCjwPlV9d52mR8D/h5YAdwB/EpV3Tfoz/Kqcz/Hld944IfTxz1lTz7yxp8d9GYXPPue0XB/lzTfjeIM1mbghVX1TGAlcEKSYyfUORE4vH2dDpw76KAmHmwCfOv7TbkGZ7IDnOnK1Y25vr8nWQS8n6avOBI4NcmRE6pN1Y9sBf5bVT0NOBZ4U8+yZwGfqarDgc+00wM18WAT4MpvPMCrzv3coDe9oNn3jIb7u6SFYOgJVjW29a47t6+aUO1k4MK27tXA3kkOGGRcEw82ZyqX5rJ5sL8fA6ytqtuqagtwMU2/0WvSfqSq7t52RryqNgG3AAf2LPPh9v2HgZcP+HP88GBzUX706i2X5hP3d0kLwUjuwUqyKMkaYD3w6ar60oQqBwJ39kyv40cHQBPXdXqS1UlWb9iwYSDxSho7/fQRM9ZJsgJ4FrCtD9qvqu4GaH8+cbKN2+9IkqSpjCTBqqpHqmolcBBwTJJnTKiSyRabYl3nV9Wqqlq1fPnyjiOVNKb66SOmrZNkT+AfgbdU1f3bs3H7HUmSNJWRjiJYVd8D/h04YcKsdcDBPdMHAXcNMpYD99i+cmkumwf7ez99xJR1kuxMk1x9pKo+3lPnnm2XI7c/13cc9+Mc95Q9AXikfvTqLZfmE/d3SQvB0BOsJMuT7N2+3w34OeCrE6pdCpyWxrHAxm2X7QzKlb//kscdXM61UdXmoqlG7HIkr8GaB/v7NcDhSQ5JsgQ4habf6DVpP9KOLvgB4Jaq+rNJlnlN+/41wD8N7iM0PvLGn33cwaWjqg2efc9ouL9LWghSNemVd4PbYHIUzc3ji2gSvI9W1R8mOQOgqs5rD4DOoTmz9SDwuqpaPdO6V61aVatXz1hN0oAkubaqVg1pWycBf0HTl1xQVe/qpx9J8tPA54EbaYZpB/jdqrosyT7AR4EnA98EfrmqvjtdHPY70ugNs++RpJkM/TlYVXUDzU3lE8vP63lfwJuGGZekuaWqLgMum1A2Yz9SVV9g8vuzqKp7gRd1G6kkSVpIRnoPliRJkiTNJyZYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkuakJCckuTXJ2iRnTTI/Sd7Xzr8hydE98y5Isj7JTROWWZnk6iRrkqxOcswwPoskSZo/TLAkzTlJFgHvB04EjgROTXLkhGonAoe3r9OBc3vmfQg4YZJVvwf4g6paCbyjnZYkSeqbCZakuegYYG1V3VZVW4CLgZMn1DkZuLAaVwN7JzkAoKquAL47yXoLeEL7fi/groFEL0mS5q3Fow5AknbAgcCdPdPrgOf0UedA4O5p1vsW4PIkf0LzBdTzJquU5HSas2I8+clP3p64JUnSPOcZLElzUSYpqx2oM9EbgbdW1cHAW4EPTFapqs6vqlVVtWr58uUzBitJkhYOEyxJc9E64OCe6YN4/OV8/dSZ6DXAx9v3/0BzKaIkSVLfTLAkzUXXAIcnOSTJEuAU4NIJdS4FTmtHEzwW2FhV010eCE0C9rPt+xcCX+syaEmSNP95D5akOaeqtiY5E7gcWARcUFU3JzmjnX8ecBlwErAWeBB43bblk1wEvADYN8k64J1V9QHgN4D3JlkMPEx7n5UkSVK/TLAkzUlVdRlNEtVbdl7P+wLeNMWyp05R/gXgpzoMU5IkLTBeIihJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6sjQE6wkByf5bJJbktyc5LcmqfOCJBuTrGlf7xh2nJIkSZK0vRaPYJtbgf9WVdclWQpcm+TTVfWVCfU+X1UvHUF8kiRJkrRDhn4Gq6rurqrr2vebgFuAA4cdhyRJkiR1baT3YCVZATwL+NIks5+b5Pok/5Lk6dOs4/Qkq5Os3rBhw6BClTRmkpyQ5NYka5OcNcn8JHlfO/+GJEf3zLsgyfokN02y3Jvb9d6c5D2D/hySJGl+GVmClWRP4B+Bt1TV/RNmXwc8paqeCfwlcMlU66mq86tqVVWtWr58+cDilTQ+kiwC3g+cCBwJnJrkyAnVTgQOb1+nA+f2zPsQcMIk6z0eOBk4qqqeDvxJ58FLkqR5bSQJVpKdaZKrj1TVxyfOr6r7q+qB9v1lwM5J9h1ymJLG1zHA2qq6raq2ABfTJEa9TgYurMbVwN5JDgCoqiuA706y3jcCZ1fV5rbe+oF9AkmSNC+NYhTBAB8AbqmqP5uizv5tPZIcQxPnvcOLUtKYOxC4s2d6HY+/l7OfOhP9BPAzSb6U5HNJnj1ZJS9NliRJUxnFKILHAb8G3JhkTVv2u8CTAarqPOCVwBuTbAUeAk6pqhpBrJLGUyYpm9hH9FNnosXAMuBY4NnAR5P8+MT+p6rOB84HWLVqlX2TJEn6oaEnWFX1BSY/8Omtcw5wznAikjQHrQMO7pk+CLhrB+pMtt6PtwnVfyR5FNgX8DSVJEnqy0hHEZSkHXQNcHiSQ5IsAU4BLp1Q51LgtHY0wWOBjVV19wzrvQR4IUCSnwCWAN/pNHJJkjSvmWBJmnOqaitwJnA5zbP0PlpVNyc5I8kZbbXLgNuAtcBfA7+5bfkkFwFXAUckWZfkDe2sC4Afb4dvvxh4jZcnS5Kk7TGKe7AkadbaEUYvm1B2Xs/7At40xbKnTlG+BXh1h2FKkqQFxjNYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJc1KSE5LcmmRtkrMmmZ8k72vn35Dk6J55FyRZn+SmKdb9tiSVZN9BfgZJkjT/mGBJmnOSLALeD5wIHAmcmuTICdVOBA5vX6cD5/bM+xBwwhTrPhj4eeCb3UYtSZIWAhMsSXPRMcDaqrqtqrYAFwMnT6hzMnBhNa4G9k5yAEBVXQF8d4p1/znw34EaTOiSJGk+M8GSNBcdCNzZM72uLdveOo+R5GXAt6rq+hnqnZ5kdZLVGzZs6D9qSZI075lgSZqLMknZxDNO/dT5UeVkd+D3gHfMtPGqOr+qVlXVquXLl89UXZIkLSAmWJLmonXAwT3TBwF37UCdXocChwDXJ7mjrX9dkv1nHa0kSVowTLAkjYUkuyU5os/q1wCHJzkkyRLgFODSCXUuBU5rRxM8FthYVXdPtcKqurGqnlhVK6pqBU2CdnRVfXv7P40kSVqoTLAkjVyS/wKsAf61nV6ZZGLC9ENVtRU4E7gcuAX4aFXdnOSMJGe01S4DbgPWAn8N/GbP9i4CrgKOSLIuyRu6/1SSJGkhWjzqACQJ+P/RjAz47wBVtSbJiukWqKrLaJKo3rLzet4X8KYplj11poDas1iSJEnbxTNYksbB1qraOOogJEmSZsszWJLGwU1J/i9gUZLDgf8KfHHEMUmSJG03z2BJGgdvBp4ObAYuAu4H3jLKgCRJknaEZ7AkjVxVPQj8XpJ3N5O1adQxSZIk7YgdSrCS/PZ086vqz3YsHEkLUZJnAxcAS9vpjcDrq+rakQYmSZK0nXb0DNbSTqOQtNB9APjNqvo8QJKfBj4IHDXSqCRJkrbTDiVYVfUHXQciaUHbtC25AqiqLyTxMkFJkjTnzGqQiyQHJflEkvVJ7knyj0kO6io4SQvGfyT5n0lekORnk/wV8O9Jjk5y9KiDkyRJ6tdsB7n4IPB3wC+3069uy35+luuVtLCsbH++c0L584ACXjjUaCRJknbQbBOs5VX1wZ7pDyV5yyzXKWmBqarjRx2DJElSF2b7HKzvJHl1kkXt69XAvdMtkOTgJJ9NckuSm5P81iR1kuR9SdYmucFLhKT5LcleSf4syer29adJ9hp1XJIkSdtrtmewXg+cA/x5O31lWzadrcB/q6rrkiwFrk3y6ar6Sk+dE4HD29dzgHPbnwO14qxPPq7sjrNfMrDtXbV2PZesuYt7Nm5mv7124eUrn8RzD3viwLY3robd7uNsmPvEmLX7BcBNwK+0079Gc7nxK0YV0DCN2e9iwbDdR8N2lzTfzeoMVlV9s6peVlXL29fLq+obMyxzd1Vd177fBNwCHDih2snAhdW4Gtg7yQGziXUmk3X405XP1lVr13POZ7/Opocf4cC9d2XTw49wzme/zlVr1w9ke+Nq2O0+zoa5T4xhux9aVe+sqtva1x8APz6qYIZpDH8XC4LtPhq2u6SFYLajCL4nyROS7JzkM0m+014m2O/yK4BnAV+aMOtA4M6e6XU8Pgmb0y5Zcxd77baEffZcwk6LdmKfPZew125LuGTNXaMOTSOywPeJh9pnXwGQ5DjgoRHGI0mStENmew/Wi6vqfuClNEnQTwC/08+CSfYE/hF4S7uOx8yeZJGaYj2nb7tvY8OGDf1HPmL3bNzMst0ee4Xmst0Wc8/GzSOKSKO2wPeJNwLvT3JHkm/QXHp8xohjkiRJ2m6zTbB2bn+eBFxUVd/tZ6EkO9MkVx+pqo9PUmUdcHDP9EHApF/jV9X5VbWqqlYtX768/8hHbL+9duG+h7Y+puy+h7ay3167jCgijdpC3ieqak1VPRM4CvjJqnpWVV0/6rgkSZK212wHufjnJF+luZTnN5MsBx6eboEkAT4A3FJVfzZFtUuBM5NcTDO4xcaqunuWsY6Vl698Eud89utAc5bivoe2svGhLfzasYeOODKNykLcJ5L89hTlAEzTR0iSJI2l2Q5ycRbwXGBVVf0AeJBmgAoAkkz2wOHjaEYIe2GSNe3rpCRnJNl2SdBlwG3AWuCvgd+cTZz9mGoEo0GNbPTcw57ImccfytJdF/Gt7z3M0l0Xcebxhy64UQSH3e7jbJj7xBi1+9IZXlNKckKSW9vHOZw1yfwpH/eQ5IIk65PcNGGZP07y1bb+J5LsPfuPOL0x+l0sKLb7aNjukhaCVE16a1M3K0+uq6qhPcNq1apVtXr16mFtTtIESa6tqlVD2M4i4D+Bn6e5pPga4NTexz0kOQl4M80lzM8B3ltVz2nnPR94gGa00mf0LPNi4P9U1dYk7waoqrdPF4v9jjR6w+p7JKkfs70HayaTDVYhSY+xAyOSHgOsbYd03wJcTM/Z89aUj3uoqiuAx90zWlWfqqptN8JdTXP/pyRJUt8GnWAN7vSYpPlke0ck7edRDrN93MPrgX+ZbMZcHb1UkiQN3qATLEnqx/aOSNrPoxz6ftzD41ae/B6wFfjIZPPn6uilkiRp8GY1imCSXWkGoPhpmgOXLwDnVtW2kQTvmFV0khaK7R2RtJ9HOfT9uIdeSV5DcybtRTXIm1QlSdK8NNszWBcCTwf+kubBoE8D/te2mVX1ilmuX9ICsAMjkl4DHJ7kkCRLgFNoHu/Q61LgtHY0wWPp43EPSU4A3g68rKoenNWHkiRJC9Jsn4N1RPtw0G0+m8SHg0rablV1X8/77wPf75n9buDTPfO3JjkTuBxYBFxQVTdve9RDVZ1H87iHk2ge9/Ag8Lptyye5CHgBsG+SdcA7q+oDNF8U7QJ8un0W19VVte3xEZIkSTOabYL15STHtiN0keQ5wJWzD0uSHuNx91NV1WU0SVRv2Xk97wt402Qrq6pTpyg/bHZhSpKkhW6HEqwkN9Lcc7UzzSU432ynnwJ8ZbplJWkHeC+UJEmaE3b0DNZLO41CkiRJkuaBHUqwquobXQciaeFyRFJJkjRfzPYeLEnqwoXAJpoRSQFOpRmR9JfBEUklSdLcYYIlaRw4IqkkSZoXZvscLEnqwpfbZ1UBjkgqSZLmLs9gSRoZRySVJEnzjQmWpFFyRFJJkjSvmGBJGhlHJJUkSfON92BJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJmpOSnJDk1iRrk5w1yfwkeV87/4YkR/fMuyDJ+iQ3TVjmx5J8OsnX2p/LhvFZJEnS/GGCJWnOSbIIeD9wInAkcGqSIydUOxE4vH2dDpzbM+9DwAmTrPos4DNVdTjwmXZakiSpbyZYkuaiY4C1VXVbVW0BLgZOnlDnZODCalwN7J3kAICqugL47iTrPRn4cPv+w8DLBxG8JEmav0ywJM1FBwJ39kyva8u2t85E+1XV3QDtzydOVinJ6UlWJ1m9YcOG7QpckiTNbyZYkuaiTFJWO1Bnh1TV+VW1qqpWLV++vItVSpKkecIES9JctA44uGf6IOCuHagz0T3bLiNsf66fZZySJGmBMcGSNBddAxye5JAkS4BTgEsn1LkUOK0dTfBYYOO2y/+mcSnwmvb9a4B/6jJoSZI0/5lgSZpzqmorcCZwOXAL8NGqujnJGUnOaKtdBtwGrAX+GvjNbcsnuQi4Cjgiybokb2hnnQ38fJKvAT/fTkuSJPVt8agDkKQdUVWX0SRRvWXn9bwv4E1TLHvqFOX3Ai/qMExJkrTAeAZLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6shIEqwkFyRZn+SmKea/IMnGJGva1zuGHaMkSZIkba9RPWj4Q8A5wIXT1Pl8Vb10OOFIkiRJ0uyN5AxWVV0BfHcU25YkSZKkQRnne7Cem+T6JP+S5OmjDkaSJEmSZjKqSwRnch3wlKp6IMlJwCXA4ZNVTHI6cDrAk5/85KEFKEmSJEkTjeUZrKq6v6oeaN9fBuycZN8p6p5fVauqatXy5cuHGqckSZIk9RrLBCvJ/knSvj+GJs57RxuVJEmSJE1vJJcIJrkIeAGwb5J1wDuBnQGq6jzglcAbk2wFHgJOqaoaRaySJEmS1K+RJFhVdeoM88+hGcZdkiRJkuaMsbxEUJIkSZLmIhMsSXNSkhOS3JpkbZKzJpmfJO9r59+Q5OiZlk2yMsnVSdYkWd3eAypJktQ3EyxJc06SRcD7gROBI4FTkxw5odqJNI93OJzmUQ7n9rHse4A/qKqVwDvaaUmSpL6ZYEmai44B1lbVbVW1BbgYOHlCnZOBC6txNbB3kgNmWLaAJ7Tv9wLuGvQHkSRJ88u4PmhYkqZzIHBnz/Q64Dl91DlwhmXfAlye5E9ovoB63mQb9wHnkiRpKp7BkjQXZZKyiY9ymKrOdMu+EXhrVR0MvBX4wGQb9wHnkiRpKiZYkuaidcDBPdMH8fjL+aaqM92yrwE+3r7/B5rLCSVJkvpmgiVpLroGODzJIUmWAKcAl06ocylwWjua4LHAxqq6e4Zl7wJ+tn3/QuBrg/4gkiRpfvEeLElzTlVtTXImcDmwCLigqm5OckY7/zzgMuAkYC3wIPC66ZZtV/0bwHuTLAYepr3PSpIkqV8mWJLmpKq6jCaJ6i07r+d9AW/qd9m2/AvAT3UbqSRJWki8RFCSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJWlOSnJCkluTrE1y1iTzk+R97fwbkhzdz7JJ3tzOuznJe4bxWSRJ0vyxeNQBSNL2SrIIeD/w88A64Jokl1bVV3qqnQgc3r6eA5wLPGe6ZZMcD5wMHFVVm5M8cXifSpIkzQeewZI0Fx0DrK2q26pqC3AxTWLU62TgwmpcDeyd5IAZln0jcHZVbQaoqvXD+DCSJGn+MMGSNBcdCNzZM72uLeunznTL/gTwM0m+lORzSZ492caTnJ5kdZLVGzZsmMXHkCRJ840JlqS5KJOUVZ91plt2MbAMOBb4HeCjSR5Xv6rOr6pVVbVq+fLl/UctSZLmPe/BkjQXrQMO7pk+CLirzzpLpll2HfDxqirgP5I8CuwLeJpKkiT1xTNYkuaia4DDkxySZAlwCnDphDqXAqe1owkeC2ysqrtnWPYS4IUASX6CJhn7zsA/jSRJmjc8gyVpzqmqrUnOBC4HFgEXVNXNSc5o558HXAacBKwFHgReN92y7aovAC5IchOwBXhNezZLkiSpLyZYkuakqrqMJonqLTuv530Bb+p32bZ8C/DqbiOVJEkLiZcISpIkSVJHTLAkSZIkqSMmWJIkSZLUERMsSZIkSerISAa5SHIB8FJgfVU9Y5L5Ad5LMwLYg8Brq+q6Qcd13B99km99/0fTB+4BV/7+Swa92QVvxVmffFzZHWfb7oPm/j4+XnXu57jyGw/8cPq4p+zJR974syOMaGGw7xkN93dJ892ozmB9CDhhmvknAoe3r9OBcwcd0MSDTYBvfb8p1+BMdoAzXbm64f4+PiYebAJc+Y0HeNW5nxtRRAuDfc9ouL9LWghGkmBV1RXAd6epcjJwYTWuBvZOcsAgY5p4sDlTuTSXub+Pj20Hm4vyo1dvuTSfuL9LWgjG9R6sA4E7e6bXtWWPk+T0JKuTrN6wYcNQgpMkSZKkyYxrgpVJymqyilV1flWtqqpVy5cvH3BYkiRJkjS1cU2w1gEH90wfBNw1yA0euMf2lUtzmfv7+DjuKXsC8Ej96NVbLs0n7u+SFoJxTbAuBU5L41hgY1XdPcgNXvn7L3ncwaWjqg3eVCN2OZLXYLm/j4+PvPFnH3dw6ahqg2ffMxru75IWglRNeuXdYDeaXAS8ANgXuAd4J7AzQFWd1w7Tfg7NSIMPAq+rqtUzrXfVqlW1evWM1SQNSJJrq2rVqOMYJvsdafQWYt8jaXyN5DlYVXXqDPMLeNOQwpEkSZKkTozrJYKSJEmSNOeYYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLElzUpITktyaZG2SsyaZnyTva+ffkOTo7Vj2bUkqyb6D/hySJGl+McGSNOckWQS8HzgROBI4NcmRE6qdCBzevk4Hzu1n2SQHAz8PfHPAH0OSJM1DJliS5qJjgLVVdVtVbQEuBk6eUOdk4MJqXA3sneSAPpb9c+C/A8N/SKAkSZrzTLAkzUUHAnf2TK9ry/qpM+WySV4GfKuqrp9u40lOT7I6yeoNGzbs2CeQJEnzkgmWpLkok5RNPOM0VZ1Jy5PsDvwe8I6ZNl5V51fVqqpatXz58hmDlSRJC4cJlqS5aB1wcM/0QcBdfdaZqvxQ4BDg+iR3tOXXJdm/08glSdK8ZoIlaS66Bjg8ySFJlgCnAJdOqHMpcFo7muCxwMaqunuqZavqxqp6YlWtqKoVNInY0VX17aF9KkmSNOctHnUAkrS9qmprkjOBy4FFwAVVdXOSM9r55wGXAScBa4EHgddNt+wIPoYkSZqHTLAkzUlVdRlNEtVbdl7P+wLe1O+yk9RZMfsoJUnSQuMlgpIkSZLUkTRf8s4PSTYA3+hgVfsC3+lgPaNg7KNh7I2nVNWCGlYvySbg1lHHMYlx3SfHMa5xjAnGM65xjAngiKpaOuogJAnm2SWCXR3YJVldVau6WNewGftoGPuCdus4tt+4/l7HMa5xjAnGM65xjAmauEYdgyRt4yWCkiRJktQREyxJkiRJ6ogJ1uTOH3UAs2Dso2HsC9e4tp9x9W8cY4LxjGscY4LxjUvSAjSvBrmQJEmSpFHyDJYkSZIkdcQES5IkSZI6sqATrCR3JLkxyZrJhnhN431J1ia5IcnRo4hzMn3E/oIkG9v5a5K8YxRxTibJ3kk+luSrSW5J8twJ88e53WeKfSzbPckRPTGtSXJ/krdMqDO27T5MSU5IcmvbDmdNMn/KdkpyQZL1SW6aYt1vS1JJ9h2HmJK8uV3vzUnesz0xDSquJCuTXL2tb0tyzDBiSnJwks+2f9c3J/mtnmV+LMmnk3yt/blse2IaYFx/3PZFNyT5RJK9Rx1Tz7I7tK8PMq7Z7u+S1LeqWrAv4A5g32nmnwT8CxDgWOBLo455O2J/AfC/Rx3nFLF9GPj19v0SYO851O4zxT627d4T4yLg2zQPBZ4T7T7ktvk68OPt7/d64Mh+2wl4PnA0cNMk6z4YuJzmYehT/u0OKybgeODfgF3a6SeOQ1sBnwJO7Fn+34cRE3AAcHT7finwn9uWBd4DnNW+Pwt497Daaoa4Xgwsbt+/e3viGlRMs9nXB9xWs9rfffny5Wt7Xgv6DFYfTgYurMbVwN5JDhh1UHNZkifQHFh9AKCqtlTV9yZUG8t27zP2ueBFwNer6hsTysey3YfsGGBtVd1WVVuAi2napdeU7VRVVwDfnWLdfw78d2B7RxYaVExvBM6uqs1tvfVjElcBT2jf7wXcNYyYquruqrqujW0TcAtwYM8yH27ffxh4+XbENLC4qupTVbW1Xf5q4KBRx9Ta0X19kHHNdn+XpL4t9ASrgE8luTbJ6ZPMPxC4s2d6HY/9JzJKM8UO8Nwk1yf5lyRPH2Zw0/hxYAPwwSRfTvI3SfaYUGdc272f2GE8273XKcBFk5SPa7sPUz9tsN3tlORlwLeq6vpxiQn4CeBnknwpyeeSPHtM4noL8MdJ7gT+BPgfw44pyQrgWcCX2qL9qupugPbnE7cjpkHG1ev1NGd1RhrTLPf1gcXF7Pd3SerbQk+wjquqo4ETgTclef6E+ZlkmXEZ136m2K+juQTsmcBfApcMOb6pLKa5LOjcqnoW8H2aS256jWu79xP7uLY7AEmWAC8D/mGy2ZOUjUO7D1M/bbBd7ZRkd+D3gB29H6/zmFqLgWU0l1j9DvDRJJOtZ9hxvRF4a1UdDLyV9ozxsGJKsifwj8Bbqur+7dj2yOJK8nvAVuAjo4ypg319IHG1xbPd3yWpbws6waqqu9qf64FP0Fya0GsdzbXk2xzE9l2uMjAzxV5V91fVA+37y4Cdd+Rm4wFYB6yrqm3fKn6MJmmZWGcc233G2Me43bc5Ebiuqu6ZZN64tvsw9dMG29tOhwKHANcnuaOtf12S/UcY07ZlPt5eZvUfwKPA9uyrg4rrNcDH2/f/wOP75YHFlGRnmgPzj1TVx3vq3LPt0sb25/ZeXjaouEjyGuClwKuqanu+EBlETLPd1wcV17ZlZrO/S1LfFmyClWSPJEu3vae5WXjiKFuXAqe1IxYdC2zcdpnIKPUTe5L9t307l2YUrp2Ae4cd60RV9W3gziRHtEUvAr4yodpYtns/sY9ru/c4lckvD4QxbfchuwY4PMkh7dm+U2japdd2tVNV3VhVT6yqFVW1guZA7+h2fxpJTK1LgBcCJPkJmgEFvtNnTIOM6y7gZ9v3LwS+NoyY2r/bDwC3VNWfTbLMa9r3rwH+aTtiGlhcSU4A3g68rKoeHHVMHezrA4mrdQmz298lqX81BiNtjOJFcz/N9e3rZuD32vIzgDPa9wHeTzOi0Y3AqlHHvR2xn9nOu57m5ufnjTrunvhXAquBG2j+6S2bC+3eZ+zj3O670yR7e/WUzYl2H3I7nUQz+tjXt7dfoEle7wZ+QHNw+YZJ1n8H2z+yWucx0Rxg/i3NlzPXAS8ch7YCfhq4tv0b+hLwU8OIqd1utX/ba9rXSe28fYDP0CR7nwF+bFhtNUNca2nuRdpWft6oY5rtvj7Atpr1/u7Lly9f/b5StdBusZAkSZKkwViwlwhKkiRJUtdMsCRJkiSpIyZYkiRJktQREyxJkiRJ6ogJlrSAJLkgyfokEx9JMFnd5ye5LsnWJK+cMO/dSW5qX786uIglSZLmFhMsaWH5EHBCn3W/CbwW+LvewiQvoXnA8krgOcDvJHlCZxFKkiTNYSZY2mFJVvRzJqSte0eSfbdj3auSvG9Ht5/ktUme1O/2FoqqugL4bm9ZkkOT/GuSa5N8PslT27p3VNUNwKMTVnMk8Lmq2lpV36d5XlG/SZvUme3pg/pY1x8m+blJyl+Q5H/3vH9ez7wPTTy7K0mSCZbGUlWtrqr/OotVvBYwwerP+cCbq+qngLcBfzVD/euBE5Ps3ibNxwMHDzhGaaCq6h1V9W8zVHsB8LwZ6kiSFjgTLM3W4iQfTnJDko8l2X2aum9u7+m5cdtZkiR7tPcFXZPky0lObst7vzVenuTT7bL/M8k3es6GLUry10luTvKpJLu13yivAj6SZE2S3QbZAHNZkj1pDhj/Icka4H8CB0y3TFV9CrgM+CJwEXAVsHWwkUpTmrEPSnJMko+3709O8lCSJUl2TXJbW/7Ds1FJTkjy1SRfAF7Rlq0AzgDe2vYrP9Ou/vlJvpjkNs9mSZLABEuzdwRwflUdBdwP/OY0db9TVUcD59KcKQH4PeD/VNWzac6E/HGSPSYs9862ztHAJ4An98w7HHh/VT0d+B7wS1X1MWA18KqqWllVD83qE85vOwHfa9tp2+tpMy1UVe9q6/48EOBrA49Umlw/fdB1wLPa9z8D3AQ8m+Yewi/1VkyyK/DXwH9p6+4PzSWzwHnAn7f7/ufbRQ4Afhp4KXB2Z59KkjRnmWBptu6sqivb939Lc6AxlY+3P68FVrTvXwyc1Z49+XdgVx6bQNGu82KAqvpX4L6eebdX1ZpJ1qs+VNX9wO1JfhkgjWdOt0ySRUn2ad8fBRwFfGrgwUqTm7EPqqqtwNokTwOOAf4MeD5NAvX5CdWfStOvfK2qql3ndC6pqker6ivAfrP4HJKkeWLxqAPQnFczTPfa3P58hB/te6E563Rrb8UkvQcq6WOd29br5YDTSHIRzX0k+yZZR3N28FXAuUn+H2BnmmT2+iTPpjljuAz4L0n+oD1TuDPw+STQnDF4dXsAK41Cv33Q54ETgR8A/0YzouYifnQ2vZ91TKa3D5qur5IkLRAmWJqtJyd5blVdBZwKfGE7l7+c5t6sN1dVJXlWVX15Qp0vAL8CvDvJi2kO+GeyCVi6nbHMe1V16hSzHjcKYFVdAxw0SfnDNCMJSuOg3z7oCuBC4MKq2tCehd0fuHlCva8ChyQ5tKq+3q5zm02AjySQJE3LSwQ1W7cAr0lyA/BjNPdXbY8/ojkjckM73PIfTVLnD4AXJ7mO5hvou2kOdKbzIeA8B7mQ5r1++6Av0VzCd0U7fQNwQ3sZ4A+1XyCcDnyyHeTiGz2z/xn4xQmDXEiS9BiZ8L9FGjtJdgEeqaqtSZ4LnFtVK0ccliRJkvQ4XiKoueDJwEeT7ARsAX5jxPFIkiRJk/IMljqV5BPAIROK315Vl48iHkkLi32QJGnUTLAkSZIkqSMOciFJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpI/8fwE0xkFEO68cAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -2778,12 +2779,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "### Post processing\n", - "\n", - "There are a number of post-processing step we can take. Below we show the 'adaptation table' which displays which multi indices were refined at every iteration." + "### Post-processing\n", + "There are several post-processing steps we can take. Below we show the 'adaptation table' which displays which multi indices were refined at every iteration." ] }, { @@ -2799,7 +2800,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -2840,10 +2841,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We can also make a histogram which visualises the adaptation. This displays only a first-order information, i.e. only the maximum quadrature order per input. It therefore does not display that certain inputs were refined simultaneously:" + "We can also make a histogram that visualises the adaptation. This displays only a first-order information, i.e. only the maximum quadrature order per input. It, therefore, does not display that certain inputs were refined simultaneously:" ] }, { @@ -2858,7 +2860,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -2874,10 +2876,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "To get a list of the error magnitudes associated to the multi indices that were selected use:" + "To get a list of the error magnitudes associated with the multi indices that were selected using:" ] }, { @@ -2902,7 +2905,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -2968,7 +2971,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -2984,10 +2987,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "We can see that the estimates are fair, although not yet fully converged in this case. Note however that these results are computed only with the accepted set of multi indices. At the end, we can merge the accepted and admissible set (thereby using all samples), and recompute the results:" + "We can see that the estimates are fair, although not yet fully converged in this case. Note however that these results are computed only with the accepted set of multi-indices. At the end, we can merge the accepted and admissible set (thereby using all samples), and recompute the results:" ] }, { @@ -3033,7 +3037,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -3060,7 +3064,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -3079,12 +3083,13 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "This improved our estimates. Note however, that if we would refine again from this point, the new admissble set will be very large, since we added *all* previous admissible indices to the accepted set. This opens up a wide range of possible new candidate directions, making the corresponding ensemble very large.\n", + "This improved our estimates. Note, however, that if we would refine again from this point, the new admissble set will be very large, since we added *all* previous admissible indices to the accepted set. This opens up a wide range of possible new candidate directions, making the corresponding ensemble very large.\n", "\n", - "Thus if we are still not happy about the result, we first have to undo the merging via `analysis.undo_merge()`, before refining again." + "Thus if we are still not happy with the result, we first have to undo the merging via `analysis.undo_merge()`, before refining again." ] }, { @@ -3125,7 +3130,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -3201,7 +3206,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAA8vElEQVR4nO3de3xcdZ3/8dc7SXNpadIWpC2l0AJFaNnCst2Cyo8KLlAuWqsglHIREGiBVVR0wXUlIKyusuKiQEGogiA3AUWpXEQRAYFW5FagUEqhpTegbXpN2iSf3x/fM8lkMknOJDOTyeTzfDzmMWfOOd9zvmcK88n3e77n85WZ4ZxzzhWakt6ugHPOOZeOByjnnHMFyQOUc865guQByjnnXEHyAOWcc64geYByzjlXkDxAOeecK0geoJxLImmMJJNU1tt1ca6/8wDlXJGRVNrbdXAuGzxAuZyRtFTSNyS9JGmzpJslDZf0B0kbJf1R0tCk/T8jaaGk9ZIel7RvD451sKSno2O9KOmTSdsel/RdSU9FZR+RtFO0+Ynofb2kTZI+lua6SiV9S9JbUfm/Sxodbfu4pPmS6qL3j8c5r6SHJF2Qcp4XJX0uWt5H0qOS1kpaJOkLSfv9QtL1kuZJ2gwcJulASf+IznOPpLskXZFU5jhJL0Tfz9OSJqZ81xdF33VdVLYyafu0qOyG6DuYGq2vif5dVkp6T9IVHixdj5iZv/yVkxewFHgGGA6MAtYAzwP/DFQAfwIujfbdG9gMHAEMAL4JLAbKu3GsUcCHwDGEP8KOiD5/JNr+OPBWdM6q6PP3o21jAAPKOrmubwAvAx8FBOwP7AgMA9YBpwJlwIzo844xznsa8FTSOcYD66NrGwQsA86Ijnsg8AEwIdr3F0Ad8InoequBd4CvRN/l54BtwBXR/gdG399BQClwevT9ViR9188Bu0TX9BowK9o2OTrXEdG5RgH7RNt+A9wQ1Xfn6Bjn9vZ/h/7quy9vQblc+4mZrTaz94C/As+a2T/MrAG4nxBgAE4EHjSzR81sO3AV4Uf849041inAPDObZ2bNZvYosIAQsBJ+bmZvmNlW4G7ggAyu6UvAt81skQUvmtmHwLHAm2b2SzNrNLM7gNeBT8c47/3AAZJ2jz7PBO6Lru04YKmZ/Tw67vPAvcDxScf9rZk9ZWbN0THLgGvMbLuZ3UcIFglnAzeY2bNm1mRmtwANwMFJ+1xjZivMbC3wu6R6ngXMjf6dms3sPTN7XdJw4GjgQjPbbGZrgKuBkzL4Xp1rwwOUy7XVSctb03zeIVrehfBXPwDRD+0ywl/omR5rd+CEqPtqvaT1wCHAyKT9VyUtb0kqG8doQksoVZtriLxD22tIe14z2wg8SOsP+knA7dHy7sBBKdczExiRdKxlKfV4z8ysg+27A19POd7oqFyn9aTja9+d0FpbmXTMGwgtKee6xUcquUKxAvinxAdJIvwYvteNYy0DfmlmZ3ejbJz0/suAPYFXUtavIPxQJ9sNeCjmue8ALpX0BKH1+Oek8/3FzI7opGxyvVcCoyQpKUglB5ZlwJVmdmXMeiVLXHu69Q3ATmbW2I3jOteOt6BcobgbOFbSpyQNAL5O+MF7uhvHug34tKSjogENlZI+KWnXGGXfB5qBPTrZ5ybgu5LGKZgoaUdgHrC3pJMllUk6kXAv6fcx6z2PEOAuB+6KWpFE5feWdKqkAdHrX5MHkaT4G9AEXBDVYxrh3lHCz4BZkg6K6j9I0rGSBseo483AGdG/U4mkUZL2MbOVwCPA/0qqjrbtKWlKzGt3rh0PUK4gmNkiwr2jnxAGAHwa+LSZbevGsZYB04BvEQLOMsLAhi7/ezezLcCVwFNRV9XBaXb7ESGgPgJsIPxoV0X3oY4jBNcPCQM9jjOzD2LWuwG4D/g34FdJ6zcCRxK6/VYQut/+hzCAIt1xthEGRpxFGGhxCiHINUTbFxDuQ/2UMIhjMfDFmHV8jjBY42rCYIm/0NpqPA0oB16Njvtr2narOpcRte2mds4VI0nPAnPM7Oe9XRfn4vIWlHNFSNIUSSOiLr7TgYnEvxfmXEHwQRLOFaePErohdyAMjjg+uk/kXJ/hXXzOOecKknfxOeecK0j9rouvpKTEqqqqersazjmXVVu2bDEzK6pGR78LUFVVVWzevLm3q+Gcc1klaWtv1yHbiiraOuecKx4eoJxzzhUkD1DOOecKkgco55xzBckDlHPOuYLkASqGlSthypilrFrV9b7OOeeywwNUDN/9Ljz5zmguv7y3a+Kcc/1Hv0t1NGjQIIv7HFRVFdTXt19fWQlbi+6JA+dcXyZpi5kN6u16ZJO3oDqx5LyrOJnbKSVMEDqQzczkNt4+/6perplzzhW/fpdJIhMj//ciqrdA0xwDjPqSQVSfewojPD4551zOeQuqC6tXw4QdVzGEdcyahQ+UcM71WRJTJRZJLJa4OM32mRIvRa+nJfZP2rZU4mWJFyQW5KW+fg+qa187+GluenY/NjQPBilHNXPOue7r6h6URCnwBnAEsByYD8ww49WkfT4OvGbGOomjgVozDoq2LQUmmfFBDi+jDW9BxVA5UNTjIyOcc33aZGCxGUvM2AbcCUxL3sGMp81YF318Btg1z3VswwNUDJUDS9hOOU0bPAu6c65glUlakPQ6J2X7KGBZ0ufl0bqOnAX8IemzAY9I/F0i9dg54YMkYqgcVApAw9rNDBzxkV6ujXPOpdVoZpM62Z7u/kTaezwShxEC1CFJqz9hxgqJnYFHJV4344nuV7dr3oKKoXJQiOP167yLzznXZy0HRid93hVYkbqTxETgJmCaGR8m1puFfc1YA9xP6DLMqfwFKGkq0iKkxUjtRo8gCemaaPtLSAcmbZuLtAbplZQyP0R6Pdr/fqQhuah6xQ4DAKhfuyUXh3fOuXyYD4yTGCtRDpwEPJC8g8RuwH3AqWa8kbR+kMTgxDJwJND29zgH8hOgpFLgWuBoYDwwA2l8yl5HA+Oi1znA9UnbfgFMTXPkR4H9MJtIGJ1ySXYrHlTuELWg1qdJK+Gcc32AGY3ABcDDwGvA3WYslJglMSva7TvAjsB1KcPJhwNPSrwIPAc8aMZDua5zvu5BTQYWY7YEACkxeuTVpH2mAbcSxr0/gzQEaSRmKzF7AmlMu6OaPZL06Rng+FxUvrK6HID6uoZcHN455/LCjHnAvJR1c5KWvwR8KU25JdD6TFS+5KuLL87okUxHmKQ6k7YjTrKmJUB5C8o55/ImXy2oOKNHYo8waX90/SfQCNyefrPOIXQbUl5eHuuQySqHVALQsHFbxmWdc851T74CVJzRI7FGmLQjnQ4cB3yKDtJimNmNwI0QMknErnWksqYCgPqN2zMt6pxzrpvy1cU3HxiHNBYp7eiR6PNp0Wi+g4E6zFZ2elRpKvAfwGcwy9kQu0QLygOUc87lT34ClFm70SOYLUSahZQYPTIPWAIsBn4GnNdSXroD+BvwUaTlSGdFW34KDAYeRXoBqeVmXza1jOLb1JiLwzvnnEsjf5kkzNqNHsFsTtKyAed3UHZGB+v3ylb1OlMZGlDUb27Kx+mcc87hmSRi8QDlnHP55wEqhoowRoL6rf1rahLnnOtNHqBiaGlBbW3u3Yo451w/4gEqhpYA5c/pOudc3niAiiHRxdfgAco55/LGA1QMElSUbKO+wad7d865fPEAFVNlWSP12/zrcs65fPFf3Jgqyxqp3+5fl3PO5Yv/4sZUOaCJ+u2lkD7dn3POuSzzABVT5YBm6q0CtnlGc+ecywcPUDFVVjRTTyVs2tTbVXHOuX7BA1RMFeV4gHLOuTzyABVTZaWFALV5c29XxTnn+gUPUDFVVooGKrwF5ZxzeeIBKqbKgfIWlHPO5ZEHqJgqq0r8HpRzzuWRB6iYKgeVegvKOefyyANUTC0ByltQzjnXJQlJnC3xJ4mXonWHSnwh7jE8QMVUuUOZt6Cccy6+y4GzgBuB3aJ1y4H/iHsAD1AxVQ4e4C0o55yL74vAcWbcCSRyxL0N7BH3AB6gYqoYWEo9Vdgmb0E551wMpUDiL/pEgNohaV2XPEDFlJhVd9sGn7XQOedimAf8SKICwj0p4LvA7+IeIH8BSpqKtAhpMdLFabYL6Zpo+0tIByZtm4u0BumVlDLDkB5FejN6H5qr6icCVMOGhlydwjnnisnXgF2AOqCG0HLanYK7ByWVAtcCRwPjgRlI41P2OhoYF73OAa5P2vYLYGqaI18MPIbZOOCx6HNOJAJU/QbPZu6cc10xY4MZnyUMkDgY2NOM6WZsjHuMfLWgJgOLMVuC2TbgTmBayj7TgFsxM8yeAYYgjQTA7AlgbZrjTgNuiZZvAT6bg7oDSQFqU2OuTuGcczklMVVikcRiqf0f9BIzJV6KXk9L7B+3bJpjHSmxtxlrzJhvxiqJj0ocEbe++QpQo4BlSZ+XR+sy3SfVcMxWAkTvO/esmh1rCVAbt+fqFM45lzMS7XqyJFJ7st4GppgxkXC/6MYMyqa6Ftq1ljZG62Mpi7WXNAy4CDiAMAqjldmhcY6QZl3q1LRx9ukWSecQug0pLy/v1jFaAtTmpmxUyTnn8m0ysNiMJQBSS0/Wq4kdzHg6af9ngF3jlk1jZzNWpqxbCYyIW+F4AQp+BVQAdwNb4h48yXJgdNLnXYEV3dgn1WqkkZitjLoD16TbycxuJPpLYNCgQd0Keh6gnHMFrkzSgqTPN0a/fQnpeqkO6uR4ZwF/6GZZgCUSh5vxp6R1nyS00mKJG6A+DnwEs+4OYZsPjEMaC7wHnAScnLLPA8AFSHcSLryupfuuYw8ApwPfj95/2836daklQG1pztUpnHOuJxrNbFIn22P3UkkcRghQh2RaNkktcJ/EzcBbwJ7AGdErlrj3oF6itamXObNG4ALgYeA14G7MFiLNQpoV7TUPWAIsBn4GnNdSXroD+BvwUaTlSGdFW74PHIH0JnBE9DknWgLU1qz0OjrnXL7F6qWSmAjcBEwz48NMyiYz47fAkcAg4Njo/ahofSxxW1B/Ah5C+jmwKqUWc2MdwWweIQglr5uTtGzA+R2UndHB+g+BT8U6fw9VVIT3en9O1znXN80Hxkl02JMlsRtwH3CqGW9kUjYdM54DnutuheMGqP9HiKCpwwMNiBeg+riWB3UbS2DbNujmYAvnnOsNZjRKLT1ZpcBcMxZKzIq2zwG+A+wIXKfQqddoxqSOynZ2PolyQj6+A0gZXGfGaXHqHC9AmR0Wa78i1tLFl8ho7gHKOdfHmNGuJysKTInlLwFfilu2C7cA+xNSG63OuLLEb0G1kkTyDTOzfjFqoF2AGpqzrErOOVcMpgJjzVjf3QPEGyQhjUK6H+lDoBHYnvTqF9oEKJ9ywznnuvIu4fGkbovbgppDeP7pU8BfgEMJQwgzae71ae1aUM455zpzK/Bbif8jpYsv5dmoDmXyHNRumG1GMsxejIZ6P00YEl70WkbxeQvKOefiuCB6/++U9UbMSQvjBqgmQtcewHqkjwAb6DpXXtEoK4Oy0mbqm7wF5ZxzXTFjbE+PEfdB3WeBY6Llh4G7CGPlF3RYoghVVpi3oJxzLk/itqBOpTWYXQh8HRgM/Dj7VSpclZVQv8VbUM451xWJasJYhSnATiSN/jZjtzjHiPsc1Pqk5a3AFbFrWUQqKqCBCm9BOedc164jpES6HLgNOAX4BnBv3APEHWZegXQl0hKkumjdkUgXdFGyqFRWyUfxOedcPEcCn49y7zVF7ycSeuRiiXsP6mpgP2AmrRlsFwKz49e17wsBqgrm9ZvR9c45110lQF20vEliCGE+qL3iHiDuPajpwF7RMPOQOcLsPaR+M4oPoLJS1JcNgr/+tber4pxzhe5Fwv2nx4C/EmbS3QRtktB2Km4LahupwSwMNf8w7d5FqrIS6ksG9XY1nHOuLzgbWBotfxnYCgyBeIliIX6Auge4JZpwkGj22p8Cd8Y9UZ9XW0vlU3+kfls0EEUKr9raXq2Wc84VIjOWmPFWtPy+GV8y40SzTqeJb0NhGqau9lI58ANCltuBhLRHPwMu7sEsu71i0KBBtrmbgxyOOw5W/WkhC7buB3G+N+ecyxNJW8ysV7t4JE4145fR8pkd7WcWb5qmuMPMtxGef7ow6tr7gFiRrbhUVkapjpxzzqUzA0KAouPRerHnEYw/3YY0kDD6YgdgHNFsVpg9HfsYfVxlJdRbBYwZ09tVcc65gmMWMg5JCDgLeNesJU1exuIFKOk0wj2nbYQbXS31gXhPBBeDykposHLYZZferopzzhUsM0ziZULGoW6L24L6AfB5zB7tycn6uoqKqAXV0KduuznnXG/4B7A38Hp3DxA3QG0DHu/uSYpFZSXUN5dDfX1vV8U55wrd48BDEr8AltGa5CHLgyTgv4AfIV2G2QcZVrJoVFZCfdMAD1DOOde1TwBvEx7WTRZ7kETc56DeAD4DrEZqil7NSE2xqypNRVqEtBjp4jTbhXRNtP0lpAO7LCsdgPQM0gtIC5Amx65PN1RWQqOV0Vjf7Xt+zjnXL5hxWAevw+MeI24L6peE6Xvvou0giXikUkKaiyOA5cB8pAcwS35g62hgXPQ6CLgeOKiLsj8ALsPsD0jHRJ8/mXH9YkpM+95QbxkMf3TOuf4tGtWXPN1Gc5xycX9ndwS+04NnnyYDizFbAoB0JzAN2jxRPA24NTrHM0hDoowVYzopa0B1VL4GWNHN+sWSCFD1DcITHjnnXMckRhFGfx9KSHGUrDTOMeJ28f2cDFKkpzGKcJMsYTntp4vvaJ/Oyl4I/BBpGXAVcEm6k0s6R9ICSQsaG7vfPdcSoPwWlHPOdWUOYYDdpwhJYg8EHgBmxT1A3BbUZOACpP8EVrfZYnZojPJKsy61NdbRPp2VnQ18FbN7kb4A3Az8W7udzW4EboSQ6ihGfdNqCVCNpdDcDCVx47tzzvU7Hwd2M2OzhJnxosRZwNOEVHldihugfhb3gB1YDoxO+rwr7bvjOtqnvJOypwNfiZbvAW7qQR271HIPiuhZqKqqXJ7OOef6siZoySKxXuIjwAba9551KG4uvlsyrlpb8wnpkcYC7wEnASen7PMAoZV2J2GQRB1mK5He76TsCsIQxseBw4E3e1jPTrW0oKgM/XweoJxzriPPAscA9wMP0zrIbkHcA+RnMJpZYzQ9/MOEm2NzMVuINCvaPgeYR7iYxYRs6Wd0WjY4G/g/pDKgHjgnl5dRURHeWwKUc865jpxK6ziHC4GvE1If/TjuAeJNt1FEejLdxhNPwJQp8BiHc/jbcz1prHOuYBTCdBvJJHYyo0eJHfwufwbadfE551wfIjFVYpHEYol2CRMk9pH4m0SDxEUp25ZKvCzxghSrm+5diXkSp6ibT+Z0HaCkUqRbkCq6c4Ji4gHKOddXSSSSHhwNjAdmSIxP2W0tYXr2qzo4zGFmHGDGpBin3A34PWFY+SqJOyQ+LcW/tdR1gDJrAo6EeE/+FrM2Acozmjvn+pbJwOJoKvZtQCLpQQsz1pgxH9je05OZ8YEZ15lxCDABeBG4ElgZ9xhxu/iuBi5DGpB5NYuHt6CccwWsLJGQIHqlDhqLkzChMwY8IvF3KeMBacOj107A+riF4ja1/h0YAXwtGvbdOrLCrF9NWAjegnLOFaRGM+us6y1OwoTOfMKMFRI7A49KvG7GEx2eLHQfziA8FlQJ3A181ozn4p4wboA6Je4Bi1mbB3W9BeWc61viJEzokFnY14w1EvcTugw7DFDAU8C9hMd//mSWUTAE4j+o+5dMD1yMvIvPOdeHzQfGSXSWMCGtaBReiRkbo+Ujgcu7KDY8utfVbfECVLj39G3Cg1e7EKLuL4ErMetRBfqSAdEdOO/ic871NWY0SrRJemDGQikkbzVjjsQIQqaHaqBZ4kLCiL+dgPsVOgnLgF+Z8VAX5+txbIjbxfcDQnNuFvAOsDthlt1q4Ks9rURfIUFlhVHf4C0o51zfY8Y8Qtae5HVzkpZXEbr+Um0A9s9t7dqLO4rvBOAzmD2C2SLMHgGmA1/IXdUKU3m5cRszWbXGn3F2zrlcivsrm270R2fri9b2RrGCUVz+4IFd7+ycc/2QRKnELRI9SvAQN0DdA/wO6SikfZGmAr8hDBvsF6qqQhff1q1h5uLr//bPSJ7Q3DnnUpmRlQQPcQPUN4E/EtJk/B34CfBn4D96cvK+ZMkSOPnkEKQABpZtY+ZMePvt3q2Xc84VqKuByyS6neCh60ESUilhssJzMPtOd0/U140cCdXVYAYlNFHfWEZ1NYwY0ds1c865gtSS4EGiTYIHM2IleOg6QJk1IXkuPmD1ahg9Gqrfe4Mp499n5ao4s90751y/1OMED/Hmg5K+CQwBavv6c089mQ8K4KST4B+/fotFZ/4P3HhjFmvmnHPdV2jzQWVD3HtQ/w58A9iAtAzp3ZZXP1NTA3VU+3NQzjnXCYkBEpdJLJGoj94vkyiPewzPxZehmhqoax7sAco55zrX4wQPcQdJzAXGY9bv8/vU1EC9VbJta1P8PwOcc67/OQHY34wPo8+LJJ4nzAsVK0DFnbCwiZAuvd+rqQnvdZtKe7cizjlX2Hqc4CHuPagfA3cjTUHaE2mPllc/0xKgNseetdg55/qje4DfSRwlsa9Exgke4v7K/jR6PyJlvRGy4vYbLQFqa7+eXNg557ryTcIsGNcSZsF4jzDN/BVxDxCvBWVW0sErfnCSpiItQlqMdHGa7UK6Jtr+EtKBscpK/x5tW4j0g9j16aaWALXF70A551w6EokED1easZcZA80YZ8Z/mRF7LENm/VTSaGAUZs9kWK6UEEWPIMzqOB/pAcxeTdrraGBc9DoIuB44qNOy0mHANGAiZg1IO2dUr25oCVANfkvOOefSMaNJylcuPmk3pKeA1wk5+UA6HummmOeZDCzGbEn0oO+dhMCSbBpwK2YWBcAhSCO7KDsb+H7L6EKzNTHr020tAaq+R0l6nXOu2CVy8XW7uynuIIkbgAeBwcD2aN2jtL8n1ZFRwLKkz8ujdXH26azs3sD/Q3oW6S9I/5ru5JLOkbRA0oLGxsaYVU6vujq8123zNObOOdeJlgQPEssk3k284h4gbhffZOBYzJqRQm4kszqkmpjl0w0rTM2x1NE+nZUtA4YCBwP/ShhpuAcp+ZvM7EbgRgipjmLWOa2WALV9YE8O45xzxa7HCR7iBqjVwF7AGy1rpPEQOxIuB0Ynfd4VWBFzn/JOyi4H7osC0nNIzcBOwPsx65WxAQNg4IBt1DV6gHLOuXSiQRJzgfGZDIpIFbeL7yrg90hnAGVIM4C7gP+JWX4+MA5pLFI5cBLwQMo+DwCnRaP5DgbqMFvZRdnfAIcDIO1NCGYfxKxTt9VU1FPXuEOYe8M551wb0YSFPU7wEK8FZTYXaS1wDuF+0GnAf2H2m5jlG5EuAB6GKLKaLUSaFW2fA8wDjgEWA1uAMzotG8wF5iK9AmwDTk/t3suFmqpt1G2qhsbG0KRyzjmX6sfA3RL/TejtSp4PakmcA8SbbqOI9HS6DYCDd19B9buv8MiGj8HgwVmqmXPOdV+hTbchdTjE3MziJXiI28XnktQMbKSOGmjo97lznXMuLTNKOnjFTvDgAaobagZFAcqn3HDOuU5JjJY4uDtlPUB1Q83gJg9QzjnXCYndJNokeJA4XiJuggcPUN1Rs0Ozd/E551zneprgIXaqowqkK5GWINVF646MRtf1OzXVxlYGsn2Tt6Ccc64Dk4Hvm9FMNILPjDogboKH2C2oq4H9gJm0DhVcSMiF1++05OP7oGdpk5xzroglEjy0kMgkwUPsTBLTgb0w2xxlawCz95BS8+n1CzVDQvalunXN7NTLdXHOuQJ1FfB7ie8BZRIzgG8B3497gLgtqG2kBjPpI9Ay13y/UjM0ClBrm3q5Js45F5/EVIlFEosl2s3LJ7GPxN8kGiQuyqRsKjPmEiYtPIGkBA9m3B63vnFbUPcAtyB9NarpSMJTwnfGPVExqRkahvHXrevRVCfOOZc3UX68NnPrSTxgRvK8fGuBLwOf7UbZdsz4DSElXbfEbUF9C1gKvAwMAd4kJGy9rLsn7stqhkUBqq6XK+Kcc/FNBhabscSMtPPymbHGjPm0jrqLXTYX4k75vg2zCzHbARgODMbsq9EEgv1OzU4h/17dhnQzgTjnXK8oS8x7F73OSdkeZ16+jvSkbLfF6+KTfgPcDjyAWc6msugranYMX5sHKOdcAWk0s0mdbI8zL18uynZb3C6+vxBmRlyDdAvSUUj99iHfmp3DdO91m/rtV+Cc63vizMuXi7LdFreL72rMJgOTgCWEARIrkK7JXdUK14DBlVSxhbpNsXMeOudcb5sPjJMYK9HRvHxZKytRIXGlxBKJumjdkRKxEzxk1gQwexOzy6LKvQScn1H5YlFeTg111G32uaCcc32DGY1AYm6914C7zVgoMUtiFoDECInlwNeAb0ssl6juqGwXp+xxgof480FJewIzotdOwK+BOzB7Mu7JCkE25oMC2EeLmLhPA3e/NjELtXLOuZ4pwPmgVgJ7mbFZYq0Zw6L1680YEucYcQdJzAf2JjTpLgIewaxfP6VaU7KRui079HY1nHOuULVL8CCRUYKHuA/qXkUYwbc1ft2KW03pJurqd+ztajjnXKG6B7hF4qsAEhkneOj4HpSUPKzwHqABqaTdq5+qKdtMXUNFb1fDOecKVY8TPHTWgqoDqqPlRtqPeVe0rl8OZasZsJm6bVW9XQ3nnCtIUcaJC4ELo669D8wye3aqswA1IWl5bObVK241A7ZSt9kDlHPOpSPxG6IED2Z0K8FDx110ZslpLU7A7J12L/h8d05aDGoq6tnSVMn21IxVzjnnICnBg8QtEkdJmT3aFHfn73Sw/tuxzyRNRVqEtBipfap2SUjXRNtfQjowg7IXIRlS3qZnqqkIs+lu2JCvMzrnXN9hxtVmtEvwIBE7wUPno/ikw6OlUqTDaJuPaQ9gY6yzSO1StSM9gFlyqvajgXHR6yDgeuCgLstKo6NtsWdpzIaaygYgBKgdfTCfc86lZcabwGVRl98PCQkevhynbFfDzG+O3iuBucnnBFYB/x6zjpOBxZgtAUBKpGpPDlDTgFsJTw4/gzQkmndqTBdlryZMivXbmHXJipqBoW/Pp9xwzrn0JNIleLg8bvnOA5TZ2Ogst2J2WrdrmT5V+0Ex9hnVaVnpM8B7mL2IOs4sHqWdPwegvLy8WxeQqqYqzDTiAco559qTaJfgwYyMEjzETRbbk+AE8VK1d7RP+vXSQOA/6fj+WOvOZjea2SQzm1RWFvfZ5M7V7NAIwPnnw6pVsHIlTJkSlp1zznEVMMKMU834Q6bBCeKnOqoGaoEphGZaa9Aw2y3GEeKkau9on/IO1u9JGP6eaD3tCjyPNBmznIeJmkHhu371Vbg8arA++WRYvu66XJ/dOecKj4SSnnW6J1rXriFkRnOs48VKFivdRggAVwO3AacQhg/ei9nVMcqXAW8AnwLeI6RuPxmzhUn7HEvIlnsMoQvvGswmxyobyi8FJmH2QWdVyUay2KoqqK/vfJ/KStjqiaGcc3lSCMliJTaYhQQPEs10kODBLF6Ch7jDzI8EPo/Zb4Gm6P1E4NRYpc3apWrHbCHSLKRZ0V7zCEMRFwM/A87rtGwvWrIEZnz075TS2G7bwIEwcya8/XYvVMw553pXaoKHPVJeiXWxxL0hU0JIfQSwCWkIhFTqcU+E2TxCEEpeNydp2ehofql0ZdvvMyZ2XXpo5EioqdqOISorW1tTAwaE5epqGDEiX7VxzrnCYNZmQNsJZlyVuo/E14AfxTle3BbUi4T7TwB/JTyXdD2h661fWl1fzSzm8MzTzYwZE9adfTbMmuUDJZxzjiwkeIjbgjqb1oERXwa+R8hO29PRfX3WfV/8HVx8MexzJm+/XcXQoVBSAj/5SW/XzDnneo9ES4IHie4neCBugEo8JBuW3we+FPcERasimmqjoQGqqhgxwltOzjlH9hI8dBKgpDNjHcFsbtc7FaHKyvAe3YAaMQJWr+7F+jjnXAEwC7NfSNxq1rNets5aUHFG6BltI2T/kRKghg+H55/vxfo451wB6Wlwgs4ClNlhPT14UUvu4sNbUM45l0yiwwQPZsRJ8JDB3BzSjkinIn0j+rwL0q4Z1Le4pGlBbdjgD+c651zkOuBAQnLYYYR7T+8SEj7EEi9ASVOARcBMWocOjiMMNe+fEi2opHtQ4K0o55yLHAl83ozfAk3Re/wED8RvQf0YOBGzqdCSPuFZwjQa/VOiBRV18Q0fHj76SD7nnANSEjxIDCHDBA9xn4Mag9lj0XIit9K2DMoXnzSj+MADlHPORRIJHh6jNcHDJjJI8BC3BfUq0lEp6/4NeDnuiYpOyiCJRAvKu/iccw4ICR6WRstfBraSYYKHuC2grwO/R3oQqEK6Afg0YWbb/imlBbXzzuGjt6Cccw7MWJK03K0ED3ED1HPARMI0G3MJM9xOxmx5picsGokA9atfwQknMGAA7Fi1hdWrB/ZuvZLV1oaXc87lgUSsBA9m8Z6f7Xo+KKmU0G84BLOGOActZNmYDwqA5cthdDSPYvQd7qdX2Hv6ftx3X88PnxVSS92cc8WtQOaD+nOM3cysJV9fp7puQZk1Ib0B7Ej7WXD7r0QLCuCCC+CDDxjO2axevV/v1SnZF7/Y2zVwzhUYianA/wGlwE1mfD9lu6LtxwBbgC+a8Xy0bSkh0WsT0GjGpNTjm5HVBA9xB0ncTrgHdTrSp5AOb3n1R7W18JGPtH6+9lq46y5GsIpVT78VWi691bVWWxvOf8st4bPUu/VxzhUEiVLCSLqjgfHADInxKbsdTXjGdRxwDu2fdT3MjAPSBacOzrmjxKkS34g+7yIRO8FD3CnfO5of1jCLPTtiIchaFx+0dvO9/jrssw9f43+5cdDX2LQpO4fvkepq2LjRu/ic6ye66uKT+BhQa8ZR0edLAMz4XtI+NwCPm3FH9HkR8EkzVkYtqElmfBCvPkwB7gUWAJ8wY3C07iIzPh3nGHGn2xgba7/+ZtfoD4FhwwAYwSo2b4ZNm2CHHXqxXtu3h+AEIUBJne/vnOsPRkGbGW+XAwfF2GcU4QFbAx6RMOAGM27s4nw/Bk404zGJddG6jBI8xM/F59K79FIYOhSAEfuE914far5+fevyhg29Vg3nXF6VSVqQ9DonZXu6v1RTu1g62+cTZhxI6AY8X+LQLuozxoweJXjwANVTtbVQVgaDBzM8ClC9/rDuunWtyyt8XItz/USjmU1KeqW2cJYDo5M+70r7gW8d7mPW8r4GuJ+uW0KvSvQowYMHqGwZNowRjeGxsF5vQa1d27rsAco5F8wHxkmMlSgHTgIeSNnnAeA0CUkcDNRF958GSQwGkBhESAT7Shfn+zpwu8QtQFV0f+sXEAZMxNF/c+ll29ChDK9/B/AWlHOu8JjRKHEB8DBhmPlcMxZKzIq2zwHmEYaYLyYMMz8jKj4cuD+6nV0G/MqMh7o4ZdoED2bETvCQvwAltRl/j9n3U7a3G3+P2fOdlpV+SEi5tA14CzgDs/W5v5g0hg3jI1veoaSkAFpQHqCcc2mYMY8QhJLXzUlaNuD8NOWWAPvHPU80pH0TMMSMH3S3vvnp4gvZKNqMv0eKN/6+87KPAvthNpGQIfeS3F5IJ4YNo3TdB+y0UwG0oBJdfJIHKOdc3pnRRPhN3rEnx8lXC2oysBizkDxQupOQaPbVpH2mAbcSHsx6BmkI0khgTIdlzR5JKv8McHyOr6NjQ4fCunWMGFFALag99vAA5ZzrLbcDv5f4P8Lgi5YRg2b8Kc4B8hWgejL+Pk5ZgDOBu9KdPBpueQ5AeXl5JvWOb9gwWLuWIXsbf/6zWLUqPIJ00klw112t80Xlxdq1MHgw7L67ByjnXG+ZHb3Xpqw3IFaCh3wFqJ6Mv++6rPSfhJl+b0938mi45Y0QMkl0UdfuGToUtm1j1Qpj40Zx+eVh9ZNPwuWXw3XX5eSs6a1bF+qzyy6hAs45l2dm9DjBQ76Gmfdk/H3nZaXTgeOAmcTK25QbVf/1dYTxxuLwlV5/fXg1N4d3Caqq8lSZ5AC1YoWnO3LO9Un5ClDzgXFIY5E6HX+PJKSDgTrMVnZaNozu+w/gM5htydO1pLXk2oc4mdsZUNbcbltVFcycCW93lNEw29auDV2Ou+wC27a1fS7KOef6iPwEKLNGaBl//xpwN2YLkWYhzYr2mgcsIYy//xlwXqdlg58Cg4FHkV5AahkumW8j9xxINRtoahKpt7nq60Pu1rzdh1q3jpWVY5lywwxWMdzvQznn+qT8PQdl1m78PWZzkpbTjr/vsGxYv1cWa9gzQ4eymp2ZddTbnPP9PZg+PaxuaIDS0jyP7Fu7lu82ncKTiz7C5XyH61asgH/6pzxWwDnnei7edBtFJKvTbSR75x0YMwZuvhnObJ31+OKL4aqrQoDaaafsnzZVVVVosaWqrIStW3N/fudc7yiEGXWzzXPxZUuU0bxNFgfgxBOhqYm8TQO/ZOFWTuZ2FA10HMhmZk58OX/3v5xzLks8QGXL4MGhLy9lQMIBB8C4cXDrrTBlSu67+kZWrmMwG1rG4ddTRXXTuvw+h+Wcc1ngASpbpJZsEqmrTzwRnnoK/vpXWp6Pypl163iX3Ug8PnbYoGdZtXZAjk/qnHPZ5wEqm6JsEsmqquCKK8KyWY6eiaqtbV1eu5ZLaY2C1YOauG/Xr2TxZM45lx8eoLIpTQtqyRKYMaN11vWBA3PwTNRll7Uur1vHO+wOwKGHwkMf/itblvtzUM65vscDVDalaUGNHAk1NaH1JOXgmaiUgMjatSxlDAAXXghbmyp4ZPXEMFLDOef6EA9Q2ZSmBQVh+o3Jk0OQOvPMLA2UqK0NEW/YsPBZCq877mApYxg2tJnjjoMhVfX8qvlEphzS1PtZ1p1zLgMeoLIpTQsKwhDzS6KZqs4+O0tDzmtrQ8SbOTN8fvjh8Pmgg1jKGMaMFQMGwHGT3+cBpvHkM2W5H6DhnHNZ5AEqm4YOhfXrQ4bYFPvtF95feSXL53zttbbva9eytGRPxowRVVVw219G00AlzZTkP2mtc871gAeobBo2LLRi6urabRo7NgSGrAao5uZ2AcrWrmOp7caYMWGAxheO20JidpKcDNBwzrkc8QCVTR1kk4DwDO/48VkOUO++25q/6PXXAXh/VRNbrYoxY2DkDbUM+/0tAJTQRP2WJqpvv44Rc2q7d77k4ezOOZdjHqCyKTFgoYPpLfbbL8sB6tVXw/tHP9rSglq6ZiAQ0gJSW8vq6bPZt2IJg9jEubNLWTX9vO4HmuTh7AketJxzOeIBKps6aUFBCFArV8KHH2bpfInuvenTYc2acP9pbTUQBSjCgIwLJ/+NjdRw0deauzdA4623Os50my5oOedcFniAyqYYLSiAhQvTbs7cq6/CzjvDIYeEz6+/zjt1QwDYfffW3SZNCQmOFzy4OvNz1NbCXnu1RtXEcPba2hC4nHMuRzxAZVMiQCW3oJK6wBJTMmWtm++112DffWGffcLnV19l6dadGVq5herq1t32m7Yn5TSw4NH0LbtO1dbSMrkVQGMjXHppaDntFU3HlRy0nHMuSzxAZVOiiy/RgmpqatMFtsuNtQwZkqUAZRZaUOPHh/68igqYP5+ltjtjdtzYZtfy/fdlol7h7y91Y37K5mZ44onW1Bd//WsIRMnNwMQzWB6gnHNZ5AEqmyoqwljuRAvqvDBrPXfeCWbo8svaDZRYubKb03CsWhWGs++7bxgiuPfe8Le/hYd0h6fMTDhgAJN2foe/rxiZ7hGtzi1cGLr3vvMdKCuDe+4J6+fMoWVu+3ntJzt2zrme8gCVbUOHwh//GLq8brwxrJsxA0rCV50IUImJjC+7DJ58sotpONK1TBIj+MaPD+/77ou9/EoIUKMa2+3+LxMaqGsazFuL2m/r1OOPh/djjoHPfhbuvRc2bgwTXB1/fOjm8wDlnMsBD1DZNmxYeCr3uuvSbt5vzvmsWwelJYYEN9wQetE6zfKQbqRcYgRfIkDtsw8fsCNbGMSY3a3d7pMOGwzA33+3IrPrefzx0IW4++4hIK1eHQZl1NXB7Nnwla/Am2+GVz+0ciVMGbPU8xw6lwMeoLJt6NBwD2ruXJg4MawzawlY+/3g9LAqmlAwobw8DMh79tmkbr+VxspLrmEKj7NqVdvuwJXzlzOl9ElWEd0b2nfflizmY8a1n6BwwrS9qKCeBX/aEP9ampvhL3+BT34yfD72WKishJdeggkT4BOfCC0rgD/8If5xi8h3vwtPvjO6/+U5zPb9Rr9/6dIxs371GjhwoOXUZz9rVl1tBmY//rHZpZeG9Q0NVskWC9Eq9dXc8j57ttns2WYlNNlsrrXZXGslNLYuqynsM/J+K6HJTjvN7NBDzVY++rLdwJcMzB67Y3X7ejU12eSS+Xbw8MV26KFmL7wQlVtptmJF63IbL78cKviLX7Su+9znwrqf/KR13T77mB11VKdfy4oVZofu/nb7c+RI8vk6vL5Mj5d0jMrKdP+OYX2xW7HC7FAez9q/ZfLx8v3fSTEBNlsB/MZm85W/k8FUg0UGiw0uTrNdBtdE218yOLDLsjDM4FGDN6P3oV3VI+cB6owzwtc6YIDZ+++32bTiiNPsZG6zigGNBmYlJc2mluDUs1dpabMdzFMGZmee2pC2auftcr8NoMFK1GQTJlhrsJvdutzmh/2Km8MPx3Pv2oqv/dAO5XF7gX8K6xhuKxgR9j33UltRvrsdOvqtdj8yieXTT7cQaFPP0cXyCy/E37ej83V4fRmcL/UYk6petl1Y1hqY2Gw7s8penHVtXq6vN8vN/uLm8N3Oau75+ZZtt9n/9kbL8cIfZ43hD68+9r1ku1ym4gQosKlgi8AWg7X7HQYT2DXR9pfADoxbNhevfAWnUoO3DPYwKDd40WB8yj7HGPwhClQHGzzbZVn4QUvAgosN/qeruuQ8QH396+FrPf749tu2bbNZg2+zEpqski3hf0R+bidzW1LrqqlNi6onQSv5r/mO/uLvqEU3e7bZuWMfshIa7ZRTzE46yUwyGzfOTDTaqaeanXpqWHfW0cttVqKl19ICDMulpZ2fY/as5rTlEssTJrRf19HyueeGoB/3+jo936xmm33G1k7+DZrTvlKPO+vcpnY/vt29vi7LnVlvs0/8MCyf1ZD183X2XXTn3y/Of9+lpd37XmbNMvviF81Ek517bje/z+7+O2SpXKa6ClBgpWBvge0BVg72Itj4lH2OAftDFKgOBns2btlcvPIVoD5m8HDS50sMLknZ5waDGUmfFxmM7LRsYp+wPNJgUVd1yXmAuuKK8LXOm5d28/QDl9p5/NReYKKdN+ZBm77nCzaL66yExihIhQCVvFyhhpYfwHLqW5ZFY5v/mROtsYEDzWbObNultWKF2WcmLU8T/Jqtp4GwsF/Ffn3+KuZXJl3GMQLUx8AeTvp8CdglKfvcADYj6fMisJFxyubila9BEqOAZUmfl0fr4uzTWdnhmK0EiN53TndySedIWiBpQWNjhsOs40rMcPvtb4fPxxzTPrtCbS33PT+Ga7mA/XmJa5cey31vHcBqdmbW7BKe4WDG7trI2F23h+WxJYwdK54952bGsoSxLOE5Jrcsf557AaOEJqAZAyrZmjZr+cgbatllwQOU0Ewp4TsI7wZAOfWAIcLU8KIZ0RwtN7WsT5BaRs5H25vblaPNslESna+k5Vht9yXtsqXdN92yaEo6trW5vgE0RNcX/3yJdYl6h++o9fsbyGY+x71M514q2Jr2uG2/w/jXl75u2S3X0b7J/5ap5dp+F5b030X3zhfKG+U0tOyfWNfz7yXx33JH331m30uuyqX7b3kgm5nJbbx9/lVkoCzxOxe9zknZnqvf4dzJdQQ0MwxOMLgp6fOpBj9J2edBg0OSPj9m8C+dloX1KcdY11Vdct6CMgt/+mSyT2IgRfK6jo6RtH46v7bzzgsDHsaODa8XmGjnnWc2fXr7otOnm513ntnhPGoTJoT35HKhG8faDOZIXk501yV32yV3HXZUriRq6Z3AnV2eo8352N7mPW655PNldH2dnG/ChPbHKCkJXTKzZpmVlMSrWzaur7fLTZhg9sK51/Xo+2z33Z57Xcu/1fHc1ebfsa98L9ksl/hvKxN03YI6AeympM+ngv0kZZ8HwQ5J+vwY2L/EKZuLV04P3vLqT118ZtHX2o19EoEqdbmjcumOkcm5U46VCGAvMLHND3ti+fDDw4/J4YcnBcQXLO2+qcvnnWc2fZ+FXZ6jzfk6CKSZnC+j6+vgfC0BP+UYifWZXFM2rq83yyX/8dPd77OrP6am77Ow33yfmXwvXf9vXXxdfPkKUGUGSwzGWutAhwkp+xxrbQdJPNdlWfihtR0k8YOu6pKXANVRcMl0n67KpTtGJufu6FhxAmVnx41zjEzOnWk9832+7tatp9fXm+WSZeN83TluT87XV8plIEaAKgNbAjaW1oEOE1L2OZa2gySei1s2Fy+Fk+eBdAzwY6AUmIvZlUizon7GOUgCfgpMBbYAZ2C2oMOyYf2OwN3AbsC7wAmYpZ/rIjJo0CDbvHlzli/OOed6l6QtZjao831o81tqxpUSswDMmCPR7nfYjAUdlc3VtbTUN28BqkB4gHLOFaM4Aaqv8VRHzjnnCpIHKOeccwXJA5RzzrmC5AHKOedcQep3gyQkNQNbO9mlDMhRuomCUezX6NfXt/n1dU+VmRVVo6PfBaiuSFpgZpN6ux65VOzX6NfXt/n1uYSiirbOOeeKhwco55xzBckDVHs39nYF8qDYr9Gvr2/z63OA34NyzjlXoLwF5ZxzriB5gHLOOVeQPEAlkTRV0iJJiyVd3Nv16SlJoyX9WdJrkhZK+kq0fpikRyW9Gb0P7e269oSkUkn/kPT76HPRXJ+kIZJ+Len16N/xY0V2fV+N/tt8RdIdkir78vVJmitpjaRXktZ1eD2SLol+bxZJOqp3al24PEBFJJUC1wJHA+OBGZLG926teqwR+LqZ7QscDJwfXdPFwGNmNg54LPrcl30FeC3pczFd3/8BD5nZPsD+hOssiuuTNAr4MjDJzPYjTONwEn37+n5BmKoiWdrrif5fPAmYEJW5LvodchEPUK0mA4vNbImZbQPuBKb1cp16xMxWmtnz0fJGwo/bKMJ13RLtdgvw2V6pYBZI2hU4FrgpaXVRXJ+kauBQ4GYAM9tmZuspkuuLlAFVksqAgcAK+vD1mdkTQOqcdB1dzzTgTjNrMLO3gcWE3yEX8QDVahSwLOnz8mhdUZA0Bvhn4FlguJmthBDEgJ17sWo99WPgm0Bz0rpiub49gPeBn0ddmDdJGkSRXJ+ZvQdcRZhsdCVQZ2aPUCTXl6Sj6ynq35xs8ADVSmnWFcUYfEk7APcCF5rZht6uT7ZIOg5YY2Z/7+265EgZcCBwvZn9M7CZvtXd1anoXsw0YCywCzBI0im9W6u8KtrfnGzxANVqOTA66fOuhO6GPk3SAEJwut3M7otWr5Y0Mto+EljTW/XroU8An5G0lNAle7ik2yie61sOLDezZ6PPvyYErGK5vn8D3jaz981sO3Af8HGK5/oSOrqeovzNySYPUK3mA+MkjZVUTrh5+UAv16lHJIlw/+I1M/tR0qYHgNOj5dOB3+a7btlgZpeY2a5mNobw7/UnMzuF4rm+VcAySR+NVn0KeJUiuT5C197BkgZG/61+inCftFiuL6Gj63kAOElShaSxwDjguV6oX8HyTBJJJB1DuKdRCsw1syt7t0Y9I+kQ4K/Ay7Teo/kW4T7U3cBuhB+JE8ws9cZunyLpk8BFZnacpB0pkuuTdABhAEg5sAQ4g/CHZbFc32XAiYQRp/8AvgTsQB+9Pkl3AJ8EdgJWA5cCv6GD65H0n8CZhOu/0Mz+kP9aFy4PUM455wqSd/E555wrSB6gnHPOFSQPUM455wqSByjnnHMFyQOUc865guQByvVbURbtT/bSuXeTtMmTgzrXMR9m7vo9SbXAXtFDvrk6x1LgS2b2x1ydw7li4y0o53ooysTtnMsyD1Cu35K0NEo4+y3gxKjL7cVoW42kmyWtlPSepCsS3XGSvijpKUlXS1oL1EraU9KfJH0o6QNJt0saEu3/S0IWgd9F5/impDGSLBHcJO0i6QFJa6MJ7M5OqmetpLsl3SppY9Q1OSm/35Zz+ecByvV39cB/A3eZ2Q5mtn+0/hZC+pm9CNOUHElIw5NwECH10M7AlYTM1N8jZOXel5AEtBbAzE4lpLj5dHSOH6Spxx2E5KG7AMcD/y3pU0nbP0NIiDuEkMPtpz25aOf6Ag9QzqWQNJwws/KFZrbZzNYAVxMS0iasMLOfmFmjmW01s8Vm9mg0+dz7wI+AKTHPNxo4BPgPM6s3sxcI+fdOTdrtSTObZ2ZNwC8Js+s6V9S879y59nYHBgArQ5JtIPwxlzy5XPIyknYGrgH+HzA42n9dzPPtAqyNZj1OeAdI7sZblbS8BaiUVGZmjTHP4Vyf4y0o59pPErcMaAB2MrMh0avazCZ0UuZ70bqJZlYNnELbCek6Gy67AhgmaXDSut2A9zK5COeKjQco58K0CGMklUDLtNyPAP8rqVpSSTQIorMuu8HAJmC9pFHAN9KcY490Bc1sGfA08D1JlZImAmcBt/foqpzr4zxAOQf3RO8fSno+Wj6NMAfTq4Suul8DIzs5xmWE2W7rgAcJs8Mm+x7wbUnrJV2UpvwMYAyhNXU/cKmZPZr5pThXPPxBXeeccwXJW1DOOecKkgco55xzBckDlHPOuYLkAco551xB8gDlnHOuIHmAcs45V5A8QDnnnCtIHqCcc84VpP8PiIgOjFL9v6gAAAAASUVORK5CYII=\n", + "image/png": "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", "text/plain": [ "
" ] @@ -3276,7 +3281,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -3313,7 +3318,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -3325,7 +3330,7 @@ } ], "source": [ - "# plot the convergence of the surrogate based on 1000 random points\n", + "# plot the convergence of the surrogate-based on 1000 random points\n", "if __name__ == '__main__':\n", " plt.figure()\n", " plt.semilogy([s[0] for s in S], 'o-')\n", diff --git a/tutorials/easyvvuq_Ishigami_SC_tutorial.ipynb b/tutorials/easyvvuq_Ishigami_SC_tutorial.ipynb index 132c6ce4d..de3000d25 100644 --- a/tutorials/easyvvuq_Ishigami_SC_tutorial.ipynb +++ b/tutorials/easyvvuq_Ishigami_SC_tutorial.ipynb @@ -1,10 +1,11 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Run an EasyVVUQ campaign to analyze the sensitivity for the Ishigami function\n", + "Run an EasyVVUQ campaign to analyze the sensitivity of the Ishigami function\n", "\n", "This is done with SC." ] @@ -1135,7 +1136,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1182,7 +1183,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1282,7 +1283,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEJCAYAAACKWmBmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAAucUlEQVR4nO3deXxU5d3//9cnCyRAIOyQALIHUIoI0optRb0VtFYprVb0V621t0trbe+vpYJ2sbW9tcXa1taltm69bV2L1B2t+9JWQISwBRBBEvYlEEKAkHx+f8wEhzAzGUhmziR5Px+P88ica87yyWGYT67rnOu6zN0RERGJJSPoAEREJL0pUYiISFxKFCIiEpcShYiIxKVEISIicSlRiIhIXEoUIiISlxKFiIjElRV0AA0xs4HAjUAnd/9KIvt069bN+/fvn9S4RERamvnz52919+71ywNJFGZ2P3AOsNndj4sonwT8DsgE/uzut7r7auByM3sy0eP379+fefPmNXXYIiItmpmtjVYeVNPTg8CkyAIzywTuBM4CRgBTzWxE6kMTEZFIgSQKd38T2F6veBywyt1Xu/t+4FHgvJQHJyIih0inm9mFwLqI9VKg0My6mtk9wGgzmxFrZzO7wszmmdm8LVu2JDtWEZFWI51uZluUMnf3bcBVDe3s7vcC9wKMHTtWQ+KKSKtWXV1NaWkpe/fuPey9nJwc+vTpQ3Z2dkLHSqdEUQr0jVjvA6wPKBYRkWattLSUvLw8+vfvj9knf4e7O9u2baO0tJQBAwYkdKx0ShRzgSFmNgAoAy4ELkrVyWcvKGPmnBLWl1dRkJ/LtIlFTB5dmKrTi4g0qb179x6WJADMjK5du3IkTfRBPR77CDAB6GZmpcBP3P0+M7sGmEPo8dj73X1JKuKZvaCMGbOKqaquAaCsvIoZs4oBEk4WSjQikm7qJ4mGymMJJFG4+9QY5c8Dz6c4HGbOKTmYJOpUVdfw8+eWUtQrj87t2pDfLpuc7Myo+zdFohERSVfp1PQUmPXlVVHLt+7ez1m/e+vgem52Jp3bZdO5fZuDyaNzuzbMXlAWNdHMnFOiRCEizZ4SBVCQn0tZlGTRrUMbbj7vOHbsqWbHnv3sqNzPjj3VlO/Zz449+ykrr2LHnv1U7DsQ9bhl5VX88sXlDOuVx/DeHRnQrT3ZmdGfSFbTlYg0NXeP2szkfmQPhipRANMmFh3SdASh2sMPvzCCs0b2bnD/8be+wvrywx9By8ow/vzWaqprQv8obTIzGNyjA8N65zG8V0eG9c5jWK+OvLNqq5quRKRJ5eTksG3bNrp27Rr1qaecnJyEj6VEwSdfxkf7F/0PJg6LmmhumTKSs0f2ZvXW3SzfUMGyjbtYvqGCd1ZtZdb7ZQe3zTCorZfg1XQlIo3Rp08fSktLoz7dVNePIlF2pFWQ5mDs2LGe6kEBj7TpaHvlfpZv3MWyDRXc/OzSmNtdctIxHFfQiWMLOzK0Z56arkQkacxsvruPPaxciSJ4J9/6atR7JG0yM8jONCr31xxcH9Y7j2MLOjGysBPHFXakqFceLxRvjFmjUbIQkUTFShRqekoDse6R3DJlJOeOKmDNtkqKy3ayZP0uFpft5LlF63nkvY+B0H0QgAP12q7UdCUiTUWJIg00dI9kYPcODOzegfOOD627O+u2V7F4/U6Ky3Zy9+sfRj1u3VNXRT3zKOqVx8Du7WmbFbsviJquRCQaNT21ALGarurXNrIyjAHd2jO0Vx7DeuaFfvbK4/01O7hh9mI1XYm0cmp6asHiNV2dPbI3H22tpGRTBSUbd1GycTeLSst5btGGg9saUP/PBTVdiUgdJYoWoKGmq6JeoaYnRhUc3Kdy3wFWbKpgxaYKrv97cdTjxuqxLiKtixJFCzF5dOER/fXfvm0Wo/t1ZnS/ztzxyqqoTVdtszJYu62SY7q2b8pQRaSZSacZ7iQg0yYWkVtvwMOsDKPGnTNuf5NbX1jO7hjDlIhIy6dEIUweXcgtU0ZSmJ+LAYX5udx2/ijevv40vjiqgHve+JBTb3udJ+ato7Z+F3IRafH01JM06IN15dz09BI+WFfOp/p04idfPJYxx3QOOiwRaWKxnnpSjUIadHzffGZdPZ7bLxjFxp17+fLd7/K9RxewYadudou0BkoUkpCMDGPKCX147fsTuObUwTy/eCOn3fYGv39lJXvrzcUhIi2Lmp7kqHy8bQ//+/wyXlyykcL8XM4Y0YOXl25iffle9ewWaabU9CRNql/XdtzztTH87Zufpra2lgffXUtZ+V6cT+bTmL2grMHjiEj6Uz8KaZTxg7thGYfPoFVVXcP0WYtYvbWSop55DO3Zgf6a4U+kWVKikEbbEGV2P4C91bX84dWVBydlys40BnbrwNBeeQztEf7ZM48Fa3dwY8RYU5rhTyS9KFFIo8Wac7wwP5dXrjuFVZt3s3JzBSUbd7NyUwULPt7BMwvXxz2mxpoSSR9KFNJosQYlnDaxiJzsTI4r7MRxhZ0O2ady3wFWbt7Nik0V/ODJRVGPq7GmRNKDbmZLo0Xr2d3QEOXt22ZxfN98Lhjbl8L83Kjb9OqU+OTvIpI8CdUozCwX6OfuJUmOR5qpIx2UMFK0GgmEhj/fuHOvEoZIwBqsUZjZF4EPgBfD68eb2dNJjktakWg1kqtOGcjOqmqm3PUOKzZVBB2iSKvWYIc7M5sPnAa87u6jw2WL3P1TKYjvqKjDXcuwZP1OLntgLlXVNfzxa2MYP6hb0CGJtGiN6XB3wN13JiEmkbiOLejEU98+mV4dc7j0/vf4xwfqwCcShEQSxWIzuwjINLMhZvZ74N0kxyUChJqhnrxqPCf068x3H/2Au15fRUscdkYknSWSKL4DHAvsA/4G7AS+m8ygIpnZQDO7z8yeTNU5Jb10apfNXy4fxxdHFfCrF0v40T8Wc6CmNuiwRFqNRBLFF9z9Rnc/Mbz8EDg3kYOb2f1mttnMFtcrn2RmJWa2ysymxzuGu69298sTOZ+0XG2zMvndV4/nylMG8vC/P+aqh+ezZ79m3RNJhUQSxYwEy6J5EJgUWWBmmcCdwFnACGCqmY0ws5Fm9my9pUeC55FWICPDmHHWcH523rG8unwzU+/9N1t37ws6LJEWL2Y/CjM7CzgbKDSzOyLe6ggk9Kecu79pZv3rFY8DVrn76vB5HgXOc/dbgHOOIHZppS45qT+9OuZw7aMLmHLXuzx42YkM7N4h6LBEWqx4NYr1wDxgLzA/YnkamNiIcxYC6yLWS8NlUZlZVzO7BxhtZjFrMmZ2hZnNM7N5W7ZsaUR40hyceWwvHvnvz7B73wG+fPe7/OblEk6+9VUGTH+Ok299VUOcizShRPpRZLt79VGfIFSjeNbdjwuvnw9MdPdvhte/Boxz9+8c7TnqUz+K1mPN1kq+cvc7bK089COam53Z4DAiInKoxvSj6G9mT5rZUjNbXbc0IpZSoG/Eeh9CtReRI9a/W3uysjIPK68bfVZEGi+RsZ4eAH4C/AY4FbiM0DA8R2suMMTMBgBlwIXARY04nrRym3ZGnw+jrLyKa/72PsN7d2RYrzyG9e5IQacczA7/+GriJJHYEkkUue7+ipmZu68FbjKztwglj7jM7BFgAtDNzEqBn7j7fWZ2DTAHyATud/clR/8rSGsXaz6MnKwMPlhXzrOLNhwsy8vJCiWNXh0p6pXH8N55rNxUwU+fWaaJk0RiSCRR7DWzDGBl+Au+DEjosVV3nxqj/Hng+YSjFIkj1nwYdfcoKvZWs2JTBcs2VLB84y5KNlYwe0EZFftiP7yniZNEPpFIovge0A64FriZ0ACBlyYxJpEjUvdlHqvpKC8nmzHHdGHMMV0O7uPulJVXUbKxgssfiv7ggyZOEglpMFG4+9zwy92E7k+IpJ0jnQ/DzOjTuR19OrejMEbTVUGMCZVEWpsGE4WZPQPUf4Z2J6E+Fn909+h3EkWaiVgTJ006tmdAEYmkl0Qej11NqDbxp/CyC9gEDA2vizRr9SdO6t0ph75dcnn4Px8zf+2OoMMTCVwiHe7edPfPRyszsyXufmxSIzwK6nAnjbV19z6+fPe77Kqq5u9Xj9cQIdIqNKbDXXcz6xdxoH5A3VRj+5soPpG00q1DWx66bBxmxqUPvMeWCg0+KK1XIoniOuBtM3vNzF4H3gKmmVl74KFkBicSpP7d2nPfpWPZUrGPyx+aS2Wcx2lFWrIGE0W4z8MQQo/Jfg8ocvfn3L3S3X+b1OhEAja6X2fuvOgEFpft5Jq/va8Jk6RVajBRmFk2cCXwI+CHwDfDZSKtwunDe3Lz5ON4rWQLP5y9WFOxSquTSIe7u4Fs4K7w+tfCZd9MVlAi6ebiTx/DhvK9/OG1VfTulMt3/2tI0CGJpEwiieJEdx8Vsf6qmS1MVkAi6eq6M4eyfmcVv/nnCnrn53DB2L4N7yTSAiRyM7vGzAbVrZjZQKAmzvYiLZKZceuUT/G5Id2YMauY10s2Bx2SSEokkii+D7xmZq+b2RvAq4SehBJpddpkZXDXxSdQ1DOPb/31fRaX7Qw6JJGki5sozCwTGEXoqadrw0uRu7+WgthE0lJeTjYPXHYindu14esPzGXd9j1BhySSVHEThbvXAOe6+z53X+TuC91dPY+k1evZMYeHvnEi1TW1XPrAe+yoVN9TabkSGcLjF0An4DGgsq7c3d9PbmhHT0N4SKrMXbOdi//8Hwo65bD/QC0bdu7VDHnSbMUawiORp57Gh3/+LKLMCc1LIdKqndi/CxeN68uD7649WKYZ8qSliZsowvconnb336QoHpFm5+Wlhz/9FJohb7kShbQIcROFu9eY2bmAEoVIDLFmwisr38uX736Xwd07MKRnBwb16MCQHh0o6JRLRoYdsu3sBWUxZ+gTCVoiTU/vmtkfaEb3KERSqSDGDHnt22SSlWH8c9kmHpu37mB5bnYmg8NJY1CPDmzfvY+H//Mx+w6ExpFS05Wkm0RuZkd7FNbdPW3vUehmtqTS7AVlh82Ql5udyS1TRh78ot9euZ9Vm3ezavNuVm6uOPh6w87YE0QW5ufyzvS0/W8mLdBR38x291OTE5JIy1CXDOI1HXVp34ZxA7owbkCXQ/at2FvNp2566bC5hiF2k5ZIqiUyZ/aPo5W7+8+ilYu0RpNHFx5VM1FeTnbMpquC/NymCE2k0RIZwqMyYqkBzgL6JzEmkVZl2sQicrMzDyv/0uiCAKIROVwiTU+/jlw3s9uAp5MWkUgrU7/pqlenHA7U1vLYvFIuGd+fHnk5AUcorV0iTz3V1w4Y2NSBiLRm9ZuuSjZWcN6db3PtIwt4+PJPk5WZSOVfJDkSmeGu2MwWhZclQAnwu+SHJtJ6FfXK43+/NJJ/r97O7S+vCDocaeUSqVGcE/H6ALDJ3TXLvEiSTTmhD3PX7OCu1z9kzDGdOX14z6BDklYqkfpsFrDR3dcSGm78W2aWn9SoRASAn3xxBMcWdOR/HvtAw5lLYBJJFH8nNMvdYOA+YADwt6RGFcHMhpvZPWb2pJldnarziqSDnOxM7r54DA5866/vs++AJpeU1EskUdSGm5qmAL919/8BeidycDO738w2m9nieuWTzKzEzFaZ2fR4x3D3Ze5+FXABcFiPQZGWrl/Xdvz6/FEUl+3k5meXBh2OtEKJJIpqM5sKXAI8Gy7LTvD4DwKTIgvCI9LeSag/xghgqpmNMLORZvZsvaVHeJ9zgbeBVxI8r0iLcuaxvbjy8wN5+N8fM3tBWdDhSCuTSKK4DDgJ+IW7f2RmA4CHEzm4u78JbK9XPA5Y5e6r3X0/8ChwnrsXu/s59ZbN4eM87e7jgYtjncvMrjCzeWY2b8uWLYmEJ9KsfH9iEeP6d2HGrGJWbqoIOhxpRRpMFO6+1N2vdfdHwusfufutjThnIbAuYr00XBaVmU0wszvM7I/A83HivNfdx7r72O7duzciPJH0lJ2Zwe8vGk37tplc9fB8Kvfp4UNJjSB68ViUsphD2Lr76+FEdaW735nEuETSXs+OOdwxdTQfba1kxqxiGhr9WaQpBJEoSoG+Eet9gPUBxCHSLI0f1I3/d8ZQnl64nof/83HQ4UgrEDNRmFmOmR3WhmNmPcysMYPPzAWGmNkAM2sDXIjGjhI5It+aMJgJRd25+ZmlLFxXHnQ40sLFq1HcAXwuSvkZJDg1qpk9AvwLKDKzUjO7PPyo7TXAHGAZ8Li7LzmysEVat4wM4zcXHE/3vLZ866/vU75nf9AhSQsWc4Y7M1vq7iNivLfE3Y9NamSNoBnupLX4YF0559/zLp8b0p0/XzL2sLm4RY7E0cxwF+8Tp6EsRdLA8X3z+dE5I/jxP5Zw/M9eomLvgagz7Ik0Rrwv/M1mNq5+oZmdCKijgkiayGubRaYZu/YewIGy8ipmzCpWxzxpMvFqFNOAx83sQWB+uGwsoR7aFyY5LhFJ0G0vraCmXhNyVXUNP31mCUN75jGoR3vaZh0+g55IomImCnd/L1yj+Dbw9XDxYuDTdT2mRSR466PMtw2wY081Z9/xFlkZxsDu7Snq1ZFhvfIY1iuPol55FObnYhZqYZ69oOzgDHtqupL64s5HEU4IPwEIP8qatjewRVqrgvxcyqIkix55bfnhOSMo2biLko0VvL92B88s/KTLUl7bLIb2yqNtljF3zQ6qa0K1krqmK0DJQoA4icLM7gF+7+5LzKwTocdca4AuZvb9uiE9RCRY0yYWMWNWMVXVnwxBnpudyQ1nD+fcUQUwquBgecXealZsqmD5xgqWb6igZGMF//pw+2FDI1RV1zBzTokShQDxaxSfCw/vDaGBAVe4+2Qz6wW8AChRiKSBui/zRJqO8nKyGXNMF8Yc0+Vg2YDpz0U9bqwmLWl94iWKyB48ZwBPALj7xrp2TRFJD5NHFx71X/+xmq4K8nMbG5a0EPEejy03s3PMbDRwMvAigJllAfoEibQQ0yYWkZt9+FNRF47rG2VraY3iJYorCQ218QDwPXffGC4/HYheVxWRZmfy6EJumTIy9BQU0LtTDnltM3l24QZNvSpAnCE8mjMN4SHSOK8t38xlD87l6gmDuH7SsKDDkRSJNYSHhuIQkcOcOqwHU8f15Y9vfMj8tTuCDkcCpkQhIlHd+IURFOTn8v0nFrJnv2bTa82UKEQkqg5ts5j5lVF8tLWSX71YEnQ4EqAGE4WZ9TSz+8zshfD6CDO7PPmhiUjQThrUlctO7s+D767h3VVbgw5HApJIjeJBQpMM1XXvXAF8L0nxiEia+cHEYQzs1p5pTy6iYm910OFIABJJFN3c/XGgFiA8Q52emRNpJXLbZHLbBaPYsLOKnz+7LOhwJACJJIpKM+sKoeFgzOwzwM6kRiUiaeWEfp25esIgHpu3jleXbwo6HEmxRBLF/wOeBgaZ2TvAX4DvJDUqEUk7154+hGG98rj+78XsqNQc3a1Jg4nC3d8HTgHGE+qtfay7L0p2YCKSXtpmZXL7BcdTvmc/P356SdDhSAol+njsOGAUcAIw1cwuSV5IIpKuRhR05LunD+GZhet5dtH6hneQFiHuxEUAZvZ/wCDgAz65ie2EmqBEpJW56pRBvLx0Ez+avZhxA7rQIy8n6JAkyRKpUYwFTnb3b7n7d8LLtckOTETSU1ZmBr++4Hj27K/hhlmLaYnjxcmhEkkUi4FeyQ5ERJqPwT06MG1iEf9ctokn55cGHY4kWbypUJ8h1MSUByw1s/eAfXXvu/u5yQ9PRNLVN04ewMtLN/GzZ5YyfnA3CjXRUYsV7x7FbSmLQkSanYwM47bzRzHxt29y/ZOL+Ms3xpGRodkvW6KYicLd3wAws1+6+/WR75nZL4E3khybiKS5vl3a8cMvjOCGp4oZffPL7KqqjjtntzRPidyjOCNK2VlNHYiINE+52RlkGOysqsaBsvIqZswqZvaCsqBDkyYSM1GY2dVmVgwUmdmiiOUjQB3uRASA215aQW29B5+qqmv41YvLgwlImly8exR/A14AbgGmR5RXuPv2pEYVwcwmADcDS4BH3f31VJ1bRBq2vrwqevnOvUyY+RpDeuYxpEcHhvbMY3CPDgzu0YGc7MxDtp29oIyZc0pYX16lpqs0FO8exU5Cg/9NPdqDm9n9wDnAZnc/LqJ8EvA7IBP4s7vfGucwDuwGcgA9hyeSZgrycymLkizycrIYUdCRlZt289ryzRwIVzvMoF+XdgzpkceQnh3YtXc/T84rY9+BWuCTpitAySJNWDI7y5jZ5wl9yf+lLlGYWSahOS3OIPTFP5dQMsokVHuJ9A1gq7vXmllP4HZ3v7ih844dO9bnzZvXdL+IiMQ0e0EZM2YVU1X9yewDudmZ3DJl5MEv+v0Halm7rZIVm3azcnMFK8M/P9paSXVN9O+gwvxc3pl+Wkp+Bwkxs/nuPrZ+eYNDeDSGu79pZv3rFY8DVrn76nBgjwLnufsthGofsewA2sZ608yuAK4A6NevX2PCFpEjUJcM4jUdtcnKCDVB9cwDeh8sr66pZeiNLxAtVcRq0pLUi5sown/9z3H3/2rCcxYC6yLWS4FPx4lhCjARyAf+EGs7d78XuBdCNYqmCFREEjN5dOFRNRNlZ2bEbLoqUAe+tBH38Vh3rwH2mFmnJjxntB45Mb/Y3X2Wu1/p7l/VjWyRlmfaxCJy693cNuC7pw8JJiA5TCJNT3uBYjN7GaisK2zEwIClQN+I9T6AxisWaaXqN1117dCGrbv389G2ygb2lFRJJFE8F16aylxgiJkNAMqAC4GLmvD4ItLM1G+6mvbEQv705momH19IUa+8ACMTSGyGu4eAR4D54eVv4bIGmdkjwL8IddorNbPL3f0AcA0wB1gGPO7umi5LRA664ezhdMzN5oaniqmt35tPUi6RiYsmAA8Bawg1HfY1s0vd/c2G9nX3qH0w3P154PkjCVREWo/O7dtw49nDue6JhTw6dx0XfVpPMgYpkbGefg2c6e6nuPvnCT2B9JvkhiUird2UEwo5aWBXbn1hGZsr9gYdTquWSKLIdveSuhV3XwFkJy8kEREwM37xpePYW13Lz59dFnQ4rVoiiWKemd1nZhPCy58I3asQEUmqgd078O1TB/P0wvW8sWJL0OG0WokkiqsJDch3LfBdYClwVTKDEhGpc9WEgQzs3p4fzi6man9NwztIk4s3zPgr4Zc/c/fb3X2Ku3/J3X/j7vti7Sci0pTaZmXyv18aybrtVfz+1ZVBh9MqxatR9DazU4BzzWy0mZ0QuaQqQBGRzwzsyvlj+nDvm6sp2VgRdDitTrzHY39MaB6KPsDt9d5zQMM6ikjK3HD2cF5ZvpkbnirmiStP0vzcKRSzRuHuT7r7WcCv3P3UeouShIikVF3fivlrd/Do3HUN7yBNJpGe2TenIhARkYaob0UwEnnqSUQkLahvRTCUKESkWVHfitSLmyjMLMPMFqcqGBGRRKhvRWo1NHFRLbDQzDQil4ikDfWtSK1E5qPoDSwxs/c4dOKic5MWlYhIAyL7VpyneSuSKpFE8dOkRyEichTUtyI1Enk89g1gOZAXXpaFy0REAqW+FanRYKIwswuA94DzgQuA/5jZV5IdmIhIIqacUMjg7u258aliBkx/jpNvfZXZC8qCDqtFSaTp6UbgRHffDGBm3YF/Ak8mMzARkUT844P1rNtRRd2EqWXlVcyYVQxwyDzccvQSSRQZdUkibBvqfyEiaWLmnBL2Hag9pKyquobpsxaxdtseRhR0ZHjvPArzczGLfg9j9oIyZs4pYX15FQX5uUybWKQkEyGRRPGimc0BHgmvfxXNdy0iaWJ9eVXU8r3Vtfz2lRV4uKrRMSeL4b07MqKgIyN6d2R4744M6dmBF4o3MmNWMVXVof4YqpEcLm6isFD6vQM4EfgsYMC97v5UCmITEWlQQX4uZVGSRWF+Li/9z+dZvrGCZRt2sXTDLpau38Wj7607mBSywk9JHaj1Q/atqq5h5pwSJYqwuInC3d3MZrv7GGBWimISEUnYtIlFh9QIAHKzM5k2sYj2bbMYc0xnxhzT+eB7NbXOmm2VoeSxfhd3vf5h1OPGqqm0Ronca/i3mZ2Y9EhERI7C5NGF3DJlZOgeBKGaxC1TRsasDWRmGIO6d+CcTxXwg0nDKMzPjbpdQYzy1iiRexSnAlea2VpCPbONUGXjU0mNTEQkQZNHFx51M1G0GklWhjFtYlFThdfsJXKP4ipgbWrCERFJrboEU/fUU9usDNyd8YO7BhxZ+jB3j7+B2fzwPYpmY+zYsT5v3rygwxCRZuijrZWc+Zs3OO/4Qm47f1TQ4aRU+Pt+bP1y3aMQEYkwoFt7vvHZATw5v5QP1pUHHU5aSCRRnEooWXxoZovMrNjMFiU7MBGRoHzntCF0z2vLTU8vobY2fqtLa5DIzeyzkh5FHGb2OeBiQrGOcPfxQcYjIi1fh7ZZXD9pGN9/YiFPLSjjy2P6BB1SoBIZPXYt0Bc4Lfx6TyL7AZjZ/Wa2uf4seWY2ycxKzGyVmU1v4PxvuftVwLPAQ4mcV0SksaaMLmRU33xufXE5u/cdCDqcQCUyeuxPgOuBGeGibODhBI//IDCp3vEygTsJ1VRGAFPNbISZjTSzZ+stPSJ2vYhPhhEREUmqjAzjpi+OYEvFPv7w6qqgwwlUIjWDLwHnEp7dzt3XE5qXokHu/iawvV7xOGCVu6929/3Ao8B57l7s7ufUW+pGrO0H7HT3XYn9WiIijTe6X2e+fEIf7n/7I9ZsrWx4hxYqkUSx30PP0DqAmbVv5DkLgcgZRkrDZfFcDjwQbwMzu8LM5pnZvC1btjQyRBGRkOsnFZGdafz8uaVBhxKYRBLF42b2RyDfzP6b0FwUf2rEOaON8xv3sQJ3/4m7v9vANve6+1h3H9u9e/dGhCci8okeHXP4zulD+OeyzbyxonX+EZrIzezbCE1S9HegCPixu/++EecsJXRzvE4fYH0jjiciklSXndyf/l3b8bNnllBdU9vwDi1MQk8vufvL7j7N3b/v7i838pxzgSFmNsDM2gAXAk838pgiIknTNiuTH50zgg+3VPLQu2uCDiflkjpTnZk9AvwLKDKzUjO73N0PANcAc4BlwOPuviSZcYiINNZpw3pwytDu/O6fK9m6e1/Q4aRUUhOFu091997unu3ufdz9vnD58+4+1N0HufsvkhmDiEhTMDN+dM4IqqpruG1OSdDhpFTCicLMss1sdL2+DSIircbgHh34+vj+PDZvHcWlO4MOJ2ViJgozu8fMjg2/7gQsBP4CLDCzqSmKT0QkrVz7X0Po2r4NP31mCQ2Nvt1SxKtRfC7i3sFlwAp3HwmMAX6Q9MhERNJQx5xspk0sYt7aHTy9sHU8sBkvUeyPeH0GMBvA3TcmMyARkXR3/pi+jCzsxC3PL2fP/pY/DlS8RFFuZueY2WjgZOBFADPLAjSZrIi0WhkZxk3njmDjrr3c9dqHQYeTdPESxZWEHmN9APheRE3idOC5ZAcmIpLOxhzThfOOL+Det1bz8bY9QYeTVDEThbuvcPdJ7n68uz8YUT7H3a9LSXQiImls+lnDyDTjF8+37HGgYk5cZGZ3xNvR3a9t+nBERJqP3p1y+fapg7jtpRW8s2orJw/uFnRISRFvhrurgMXA44TGYoo2mJ+ISKv2zc8N5P53PuLS+9+jptYpyM9l2sQiJo9uaFDs5iNeougNnA98FTgAPAb83d13pCIwEZHm4MXFG9m99wAHwnNrl5VXMWNWMUCLSRbx7lFsc/d73P1U4OtAPrDEzL6WothERNLezDkl7K85tONdVXUNP39uKTv3VAcUVdOKV6MAwMxOAKYS6kvxAjA/2UGJiDQX68uropZv3b2fUT97iR55bRnaM48hPTswtGceQ3t2YEjPPDrmZB/cdvaCMmbOKWF9eVVaNl3Fu5n9U+AcQiO8PgrMCI/8KiIiYQX5uZRFSRZd27fhis8PZMWm3azcXMGj762jqrrm4Pu9OuYwpGcHMgze/XAb1TXp23RlscYqMbNaYDVQdwXqNjTA3f1TyQ/v6IwdO9bnzZsXdBgi0grMXlDGjFnFhySB3OxMbpky8pAv+tpap6y8ihWbKijZVMHKTbtZsamCJet3RT1uYX4u70w/LenxRzKz+e4+tn55vKanAUmMR0SkRahLBg01HWVkGH27tKNvl3acPrznwfIB05+LOhd0rCatIMRMFO6+Nlq5mWUSmpUu6vsiIq3N5NGFR91MFKvpqiA/fUZKijfMeEczm2FmfzCzMy3kO4Saoy5IXYgiIi3XtIlF5GZnHlJmwHVnDAkmoCjiNT39H7CD0FSm3wSmAW2A89z9g+SHJiLS8tVvuurcPpvtldWHPXIbpHg3s4vD80/UNTdtBfq5e0UK4zsqupktIs2Vu/OVe/7Fuu17eH3aBNq1abAXQ5OJdTM73uixB3uKuHsN8FFzSBIiIs2ZmXHD2cPYXLGPP7/1UdDhAPETxSgz2xVeKoBP1b02s+jPc4mISKONOaYLk47txR/f+JAtFfuCDifuEB6Z7t4xvOS5e1bE646pDFJEpLX5waQi9h2o5Y5XVgYdStwahYiIBGRg9w5c9Ol+/O29j/lwy+5AY1GiEBFJU9eePoTc7Ex+9eLyQONQohARSVPdOrTlqlMGMmfJJuau2R5YHEoUIiJp7PLPDqRnx7b87/PLiNWdIdmUKERE0lhum0yuO6OIBR+X88LijYHEoEQhIpLmvjymD0N7duBXLy5n/4HalJ9fiUJEJM1lZhgzzhrOmm17eOS9j1N+/rRPFGY2wsweN7O7zewrQccjIhKECUXdGT+oK797ZSW79qZ2itWkJgozu9/MNpvZ4nrlk8ysxMxWmdn0Bg5zFvB7d78auCRpwYqIpDGzUK1ie+V+/vjGhyk9d7JrFA8CkyILwgMM3kkoAYwApoZrDSPN7Nl6Sw9Co9heaGYzga5JjldEJG2N7NOJyccX8Oe3PmLDztRNbJTUROHubwL1H/4dB6xy99Xuvp/QfNznuXuxu59Tb9kcXr4NTCc0gq2ISKt13ZlFuMPtL61I2TmDuEdRCKyLWC8Nl0VlZv3N7F7gL8DMONtdYWbzzGzeli1bmixYEZF00rdLOy4dfwxPvl/Ksg2pGZ81iERhUcpi9iJx9zXufoW7X+zub8fZ7l53H+vuY7t3794kgYqIpKNrTh1Cx5xsbn0hNUN7BJEoSoG+Eet9gPUBxCEi0ix1apfNNacO5o0VW3h7ZfJb5INIFHOBIWY2wMzaABcCTwcQh4hIs3XJ+GPo0zmXW15YRm1tcof2SPbjsY8QmnO7yMxKzexydz8AXAPMAZYBj7v7kmTGISLS0rTNymTaxCKWrN/FPxaWJfVcMefMbs40Z7aItAa1tc65d77NjspqXrnuFHKyMxt1vKOZM1tERNJYRoZxw9nDKSuv4qF31yTvPEk7soiIJN34Qd0Y3iuPW19YzoDpz3Hyra8ye0HTNkVlNenRREQkpWYvKGP11sqDfQzKyquYMasYgMmjY3ZROyKqUYiINGMz55Swr97Q41XVNcycU9Jk51CiEBFpxtaXRx/zKVb50VCiEBFpxgryc4+o/GgoUYiINGPTJhaRW++x2NzsUB+LpqKb2SIizVjdDeuZc0pYX15FQX4u0yYWNdmNbFCiEBFp9iaPLmzSxFCfmp5ERCQuJQoREYlLiUJEROJSohARkbiUKEREJK4WOcy4mW0B1gYdRwzdgORPSXX0FF/jKL7GUXyN09j4jnH3w+aSbpGJIp2Z2bxo472nC8XXOIqvcRRf4yQrPjU9iYhIXEoUIiISlxJF6t0bdAANUHyNo/gaR/E1TlLi0z0KERGJSzUKERGJS4kiCcysr5m9ZmbLzGyJmX03yjYTzGynmX0QXn6c4hjXmFlx+NzzorxvZnaHma0ys0VmdkIKYyuKuC4fmNkuM/tevW1Sev3M7H4z22xmiyPKupjZy2a2Mvyzc4x9J5lZSfhaTk9hfDPNbHn43+8pM8uPsW/cz0IS47vJzMoi/g3PjrFvUNfvsYjY1pjZBzH2TcX1i/qdkrLPoLtraeIF6A2cEH6dB6wARtTbZgLwbIAxrgG6xXn/bOAFwIDPAP8JKM5MYCOh57sDu37A54ETgMURZb8CpodfTwd+GSP+D4GBQBtgYf3PQhLjOxPICr/+ZbT4EvksJDG+m4DvJ/DvH8j1q/f+r4EfB3j9on6npOozqBpFErj7Bnd/P/y6AlgGJG8M4OQ4D/iLh/wbyDez3gHEcTrwobsH2oHS3d8EttcrPg94KPz6IWBylF3HAavcfbW77wceDe+X9Pjc/SV3PxBe/TfQp6nPm6gY1y8RgV2/OmZmwAXAI0193kTF+U5JyWdQiSLJzKw/MBr4T5S3TzKzhWb2gpkdm9rIcOAlM5tvZldEeb8QWBexXkowye5CYv8HDfL6AfR09w0Q+o8M9IiyTbpcx28QqiFG09BnIZmuCTeN3R+j2SQdrt/ngE3uvjLG+ym9fvW+U1LyGVSiSCIz6wD8Hfieu++q9/b7hJpTRgG/B2anOLyT3f0E4Czg22b2+XrvW5R9UvqInJm1Ac4FnojydtDXL1HpcB1vBA4Af42xSUOfhWS5GxgEHA9sINS8U1/g1w+YSvzaRMquXwPfKTF3i1J2RNdQiSJJzCyb0D/oX919Vv333X2Xu+8Ov34eyDazbqmKz93Xh39uBp4iVD2NVAr0jVjvA6xPTXQHnQW87+6b6r8R9PUL21TXHBf+uTnKNoFeRzO7FDgHuNjDDdb1JfBZSAp33+TuNe5eC/wpxnmDvn5ZwBTgsVjbpOr6xfhOSclnUIkiCcJtmvcBy9z99hjb9Apvh5mNI/RvsS1F8bU3s7y614Ruei6ut9nTwCUW8hlgZ10VN4Vi/iUX5PWL8DRwafj1pcA/omwzFxhiZgPCNaQLw/slnZlNAq4HznX3PTG2SeSzkKz4Iu95fSnGeQO7fmH/BSx399Job6bq+sX5TknNZzCZd+pb6wJ8llDVbhHwQXg5G7gKuCq8zTXAEkJPIPwbGJ/C+AaGz7swHMON4fLI+Ay4k9DTEsXA2BRfw3aEvvg7RZQFdv0IJawNQDWhv9AuB7oCrwArwz+7hLctAJ6P2PdsQk+pfFh3rVMU3ypCbdN1n8F76scX67OQovj+L/zZWkToi6t3Ol2/cPmDdZ+5iG2DuH6xvlNS8hlUz2wREYlLTU8iIhKXEoWIiMSlRCEiInEpUYiISFxKFCIiEpcShUgcZnZjeLTOReHRQT8dLs82s1vDo3YuNrP3zOysJjrnBDN7timOJdIUsoIOQCRdmdlJhHo1n+Du+8I9v9uE376Z0Iiex4Xf6wmccpTnyXT3mkbEmeWfDP4n0uSUKERi6w1sdfd9AO6+FcDM2gH/DQyIeG8T8Hj9A5jZ6cBthP6vzQWuDieWNcD9hHry/sHMyoHfAlsJjWNVt397QmNZjQwf4yZ3/4eZfR34ApADtAdOa9pfXeQTanoSie0loK+ZrTCzu8ysrsYwGPjYGxiUzcxyCPXs/aq7133RXx2xyV53/yyhAQ3/BHyR0EilvSK2uRF41d1PBE4FZoaTB8BJwKXuriQhSaVEIRKDhwYdHANcAWwBHgv/JZ+oIuAjd18RXn+I0AQ5deoGmhsW3m6lh4ZKeDhimzOB6eHZ1V4nVIPoF37vZXc/mjkeRI6Imp5E4gjfO3gdeN3MigkNvPY40M/M8jw0iUws0YZ3jlQZeao4x/iyu5ccUhi6qV4ZfReRpqUahUgMFpq7e0hE0fHAWg+NxHofcEd4NE7MrLeZ/X/1DrEc6G9mg8PrXwPeiHKq5cAAMxsUXp8a8d4c4DsRI+WObszvJHI0lChEYusAPGRmS81sEaE5im8Kv/dDQs1RS81sMaH7DFsid3b3vcBlwBPh2kgtcE/9k4S3uwJ4zszeBiKnfb0ZyAYWhc9zc5P9diIJ0uixIiISl2oUIiISlxKFiIjEpUQhIiJxKVGIiEhcShQiIhKXEoWIiMSlRCEiInEpUYiISFz/P0qM3Xrp58PpAAAAAElFTkSuQmCC", "text/plain": [ "
" ] diff --git a/tutorials/easyvvuq_Ishigami_tutorial.ipynb b/tutorials/easyvvuq_Ishigami_tutorial.ipynb index 2e443e5ed..201fc5ba2 100644 --- a/tutorials/easyvvuq_Ishigami_tutorial.ipynb +++ b/tutorials/easyvvuq_Ishigami_tutorial.ipynb @@ -1,10 +1,11 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Run an EasyVVUQ campaign to analyze the sensitivity for the Ishigami function\n", + "Run an EasyVVUQ campaign to analyze the sensitivity of the Ishigami function\n", "\n", "This is done with PCE." ] @@ -640,7 +641,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "\r", + "\r\n", " 0%| | 0/2744 [00:00" ] @@ -1211,7 +1212,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1256,7 +1257,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1301,7 +1302,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1345,7 +1346,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1445,7 +1446,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] diff --git a/tutorials/easyvvuq_Ishigami_with_noise_tutorial.ipynb b/tutorials/easyvvuq_Ishigami_with_noise_tutorial.ipynb index b1469cccd..3b1a48d49 100644 --- a/tutorials/easyvvuq_Ishigami_with_noise_tutorial.ipynb +++ b/tutorials/easyvvuq_Ishigami_with_noise_tutorial.ipynb @@ -1,10 +1,11 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ - "Run an EasyVVUQ campaign to analyze the sensitivity for the Ishigami function with noise\n", + "Run an EasyVVUQ campaign to analyze the sensitivity of the Ishigami function with noise\n", "\n", "This is done with PCE providing a normal distributed noise value" ] @@ -769,7 +770,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -829,7 +830,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEGCAYAAAB7DNKzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAzYklEQVR4nO3dd3hUZfbA8e/JJJChJUBCSQKCUpQeqoC4sBZwRUFUBHtFVCy7Kyvsb1V2dRdX7IIKKsWGAhaayiIizUaVUKQIKCEgRQMICaSc3x8zkRAmkyHJ5E4y5/M888zcd2buPRlIztz7vu95RVUxxhhjChPhdADGGGNCmyUKY4wxflmiMMYY45clCmOMMX5ZojDGGONXpNMBBENcXJw2atTI6TCMMaZcWbly5X5VjS/YXiETRaNGjVixYoXTYRhjTLkiIj/6ardLT8YYY/yyRGGMMcavkE8UInKmiLwuIjOcjsUYY8KRI4lCRCaKyF4RWVegvY+IbBKRrSIyAkBVt6nqbU7EaYwxxrkzislAn/wNIuICxgGXAC2AwSLSouxDM8YYk58jiUJVFwO/FGjuDGz1nkEcB94F+gW6TxEZIiIrRGTFvn37SjFa46i10+DZVjAq1nO/dprTETknVD4LiyP04ghyDKHUR5EI7My3nQokikhtEXkFSBaRkYW9WVUnqGpHVe0YH3/KMOCihcI/tsVxagyz74ODOwH13M++r+xjsc/C4gjlOMoghlCaRyE+2lRVDwBDg3rkvA86K8OznfdBA7QZGNRDl2kcubmgOZCbU+A+f3subJwFn42C7MwTccwaBuk/QZMLvK8vsC/NPfH+vPuTntcCxy1wzN/fl69t2fMnPos8WRnw8YNweDeICyQCIgrci8v7OO9efLRF5HuP6+THEREn2rZ+Bov+W+CzuBcOpUHTi0/Ejp54rFrgPvf0X/f7a73PffKQ78/ik4cgN9vb4P0VEglw+3Re673/dITvOD4dCVFVvA1+li7wu6zBabyv0DhGgKuSn2OUMn9xRFZ2NoYF/yq1v1/i1HoUItIImKOqrbzbXYFRqtrbuz0SQFVHn+6+O3bsqKc14e7ZVt5sXICrMiR1PL2Dl+Tz3LUSco6d2h4RBfFnB/BH3t8f3pzix2WMKYcERqWf3jtEVqrqKX/0QumMYjnQVEQaA7uAQcC1ZXLkg6m+23OOeb5Vng5f50WB8pUkAHKzILZBgW+9Bb4d+2z39U063zdmn/uIgNn3Fx7joKn5voWLj2/pBb6Rn9a3+AJxvZjs+9+mRhLc802+s5KCZydFJEzN9f+e/G3vXV/4Z3H1FG/McuJny7shPtoDfZ2P106+1HMWVVD1+nDrp/m+oHjvC35h8fl8wdcGsP3WlfDbz6fGUa0uXJdvBLv4+0Xw81yg73vzCvhtj4846sENH/rZRykrNI66ZRfHm1f4/jeJSSq1QziSKERkKtATiBORVOBRVX1dRIYB8wAXMFFV15dJQDFJvs8oYhrAzXPKJASg8DObmAYweGrZxbH4qcLjOPtPZRfHBY+efCkOIMoNFz4KlauVTQwxDQr/LFr2L5sYAC76l+/P4qJ/Qc1GZRfHxY/7juPix6F+mzKM47FC4ngM6pbhYMlC43gc6rYsoxgK+Te54JFSO4RTo54Gq2p9VY1S1SRVfd3b/rGqNlPVs1T132UW0AWPeD7Y/Er5g7Y4iqHNQLjsBc8fZcRzf9kLZdtvZJ+FxRHqcZRBDI71UQTTafdRAMtnjafBqjHU0f3slTh2th9Op8vvDFKEfqyd5umEOpjqOdO54JGy/88fSnGEAvssTJgorI/CEgXw0epdjPwghYysEx2+7igXowe0pn9yYjBCNMaYkFNYogileRSOGTNv00lJAiAjK4fH524gLT2DnNyKl0yNMSZQoTTqyTFp6Rk+2/f/dpxuT3xOZIRQPzaapNgqJNV0k1Qz795NUq0q1KsRjSuiJMOdjDEmdFmiABJi3ezykSxqV63Eg72bk/rrUVJ/zSD11wwWb9nHz4dOHsZaVCKpW70yka7ATt4+Wr2LMfM2kZaeQUKsm+G9m9vlL2OMoyxRAMN7N/fZR/Fw3xY+/0hnZuWw+2BmvgTiP5G4IoT6MdEFksiJZFKvRjSRrohT+kp2pWcw8oMUAEsWxhjHWKLgxB/hQL/JR0e5aBxXlcZxVX0+fyw7h93pmQWSiOd+6Zb9/Hw486T5UHmJZO/hYxzPzj1pXxlZOYyZt8kShTHGMZYovPonJ5baH+PKkS4axVWl0Wkmko/WpPl8fVp6Brm5SoT1gxhjHGCJwgGFJZLlO3712VeiQI8nF3JZ2wT6tUvg7HrVEb+lDowxpvTY8NgQMrx3c9xRrpPaoqMiuO7cBjStW41Xl2zjkueX0Pu5xYxbuJWdvxx1KFJjTDixM4oQUlRfyYHfjvHxuj3MWuMZGTVm3iaSG8bSr20Cl7ZJIL56GZU1NsaEFZuZXU6l/nqUOWt3M3NNGht3HyJCoHuTOC5vm0DvVvWoER3ldIjGmHLGSnhUYJt/PsysNWnM/G4XO3/JoFJkBBecXYd+7RLo2bwO0QUuZxljjC+WKMKAqrJmZzoz16QxZ20a+387TvXKkfRuVY9+7RLoembtgCf+GWPCjyWKMJOdk8tX2w4wc00a89bt4fCxbOKqVaZvm/pc3i6B5AaxNnLKGHMSSxRhLDMrhy827WXmmjQWfL+X49m5NKxVhcu9w22b1q3udIjGmBBgicIAcCgzi3nr9jDruzSWbd1PrsLZ9arTr10il7WtT1LNKoDVnDImHFmiMKfYd/gYc9emMfO7NFb/lA5Ap0Y1OaN2VeasTSMz60Q5EVufw5iKzxKF8eunA0eZvTaNj1bvYsve33y+JjHWzbIRfyzjyIwxZcUWLjJ+NaxdhXt6NeF/fz6fwrq4C1u3wxhTsRWZKERkvojE5tuuKSLzghqVcYyIkBDr9vmcK0L4JGU3ubbinzFhJZAzijhVTc/bUNVfgTpBi8g4zlfNqSiXEFslirveXkWf5xcz+7s0WyLWmDARSKLIFZGGeRsicgaegqamguqfnMjoAa1JjHUjePomxlzVlm/+fiHPD2pHrsK9U1dz8bOL+Gj1LrJzcovcpzGm/CqyM1tE+gATgEXepvOBIaoaspefrDM7uHJylU/W7ebFBVvZ9PNhGsdV5Z5eTejfLsFmfhtTjpVo1JOIxAHnAgJ8par7Sz/E0mOJomzk5ir/27CH5xdsZePuQzSsVYVhvZpwRftEoixhGFPunHaiEJGzVfV7EWnv63lVXVXKMZYaSxRlS1X5bONeXliwhZRdB0mq6ebunk24qkMSlSItYRhTXhQnUUxQ1SEistDH06qqITug3hKFM1SVLzbt47kFW/huZzoJMdHc1fMsru7YwCrYGlMOFPvSk4hEq2pmUW2hxBKFs1SVJVv28/yCLaz88Vfq1qjM0D+cxeDODS1hGBPCSjLh7ssA24JCRM4UkddFZEZZHdOUjIhwfrN4Zgztyju3d+GM2lX55+wN9HhyIa8t2UbG8RynQzTGnIZCE4WI1BORDoBbRJJFpL331hOoEsjORWSiiOwVkXUF2vuIyCYR2SoiI/ztQ1W3qeptgRzPhBYRoVuTOKbd2ZV3h5xL0zrVeHzuRno8+TnjF/3AkWPZTodojAmAvzWzewM3A0nAM/naDwF/D3D/k4GxwBt5DSLiAsYBFwGpwHIRmQW4gNEF3n+rqu4N8FgmhJ17Zm3OPbM2y3f8wgsLtjD6k+95ZdEP3N7jTG7segbVbelWY0JWIH0UV6rq+8U+gEgjYI6qtvJudwVGqWpv7/ZIAFUtmCQK7meGql7l5/khwBCAhg0bdvjxxx+LG7IpA6t++pUXF2xh4aZ9xLijuO28xtzUrRExbksYxjilJH0UT4nIGBE5p5RiSQR25ttO9bb5JCK1ReQVIDkvqfiiqhNUtaOqdoyPjy+lUE2wtG9Yk0m3dGbWsO50alSLZ+Zv5rz/fs4z8zdz8GiW0+EZY/Lxd+kpTxtgEPC6iEQAE4F3VfVQMY/pqzhpoac1qnoAGFrMY5kQ1yYpltdu6si6XQcZ+/lWXliwhYlLt3Nzt0bcdl5jFm3eZwsoGeOwIhOFqh4GXgVeFZHzganAs95RSI+p6tbTPGYq0CDfdhKQdpr7MBVMq8QYXrmhA9/vOcSLn29l3BdbGb/4B1Qh21t8cFd6BiM/SAGwZGFMGQqkzLhLRC4XkQ+B54GngTOB2cDHxTjmcqCpiDQWkUp4zlZmFWM/pgI6u14Nxl3bnv89cD6RERG/J4k8GVk5jJm3yaHojAlPgVx62gIsBMaoav75EzO8ZxiFEpGpQE8gTkRSgUdV9XURGQbMwzPSaaKqri9W9KbCalq3OplZvudb2AJKxpStgPooVNXn2piqep+/N6rq4ELaP6Z4ZyMmjCTEutnlIylUjoxg5y9HaVAroOk8xpgSKjRRiMiLeDuZRU7tfy4qSRhTUsN7N2fkBylk5DuziIwQcnKVC59ZxLBeTbjj/DOtLIgxQebvjMKKJRlH5XVYFxz11LlxLf49dyNPz9/MjFWpjLq8Jb2a26KLxgRLQOtRlDdWFDA8LN2yn0dmrWPbviNc1KIuj/RtYZejjCmBklSPjQceAloA0XntVmbchILj2bm8vnQ7LyzYQq6qXY4ypgRKMjP7bWAj0Bj4J7ADzxBXYxxXKTKCu3qexYK//oELz6nL0/M30/u5xSzcZCXCjCktgSSK2qr6OpClqotU9VY8y6IaEzISYt2Mu649b93WBVeEcMuk5dzxxgp2/nLU6dCMKfcCSRR5hXd2i8ilIpKMZza1MSHnvKZxfHr/+Yy45GyWbd3Phc8s4oUFWwqdk2GMKVogieJxEYkB/go8CLwG/DmoURlTApUiIxj6h7P47C+ey1HP2OUoY0rERj2ZCs9GRxkTmJKOeroDaES+eRfevoqQZInCFHQ8O5eJyzyjo3JylXt6NWGIjY4y5iQlSRRfAkuAlcDvF3pLsphRsFmiMIVJS8/g33M3MjdlN2fUrsKoy1rS62ybrGcMlCxRrFHVdsEKLBgsUZii2OUoY05VknkUc0TkT0GIyRjH2OgoYwIXyBnFYaAqcAzPUFkBVFVrBD+84rEzCnM6dh/M4PG5G5m71i5HmfBW7DMKVa2uqhGq6lbVGt7tkE0Sxpyu+jFuxl2bb7LeZJusZ0x+AQ2PFZGaQFNOrvW0OIhxlYidUZji8jU6qn5MNM99tsXW7TYVXkk6s28H7sczG3sNnvIdX1lRQFOR5b8cJXgXZvFyR7kYPaC1JQtT4ZSkM/t+oBPwo6r2ApKBfaUcnzEhJe9yVO2qlSj4VcrW7TbhJpBEkamqmQAiUllVvweaBzcsY0LDL0eO+2y3dbtNOAkkUaSKSCzwETBfRGYCacEMyphQkRDr9tkeHeUi/ajvJGJMRRPIqKcrVDVdVUcBDwOvA/2DHJcxIWF47+a4C5T5iIwQMrNyuPhZKzRowkMgZxS/865HMUtV7auUCQv9kxMZPaA1ibFuBEiMdfPU1W2Zfe95xFaJ4pZJy/n7hykcOZbtdKjGBI1VjzWmmDKzcnh2/mYmLNlGg5pVeGZgWzo2quV0WMYUW0lGPRljfIiOcjHyT+fw3pCuKMrV479i9CcbOZZtZUBMxRJQohCRuiLS13uz2gbG5NO5cS0+uf98BnVqyPhF2+g3dhnr0w46HZYxpabIRCEiA4FvgauBgcA3InJVsAMzpjypVjmS0QNaM+nmThw4cpz+45YxbuFWsnNynQ7NmBILZGb2d8BFqrrXux0PfKaqbcsgvmKxPgrjpF+PHOcfH61jbspu2jeM5emB7WgcV9XpsIwpUkn6KCLykoTXgQDfZ0xYqlm1EmOvTeb5Qe3Yuvc3/vT8Et78agcVceCICQ+B/MH/VETmicjNInIzMBf4JLhhnSAi54jIKyIyQ0TuKqvjGlMSIkK/don8789/oFPjWjw8cz03TvyW3QdtRrcpfwKZcDccGA+0AdoCE1T1b4HsXEQmisheEVlXoL2PiGwSka0iMqKI429U1aF4+kdOOSUyJpTVi4lmyi2deLx/K1bs+JXezy7mo9W77OzClCuBdGb/V1U/UNW/qOqfVfVDEflvgPufDPQpsD8XMA64BGgBDBaRFiLSWkTmFLjV8b7ncmApsOA0fjZjQoKIcP25Z/DJ/T1oUqcaD7y3hnveWVVoHSljQk0gndmrVLV9gba1qtomoAOINALmqGor73ZXYJSq9vZujwRQ1dEB7Guuql5ayHNDgCEADRs27PDjjz8GEp4xZSonVxm/+Aeenb+ZGHcl/ntlay44p67TYRkDFKMzW0TuEpEUoLmIrM132w6sLUEsicDOfNup3rbC4ugpIi+IyHjg48Jep6oTVLWjqnaMj48vQXjGBI8rQri7ZxNm3nMecdUqcduUFYx4fy2/WQkQE8Ii/Tz3Dp5O69FA/n6Ew6r6SwmOKT7aCj2tUdUvgC9KcDxjQk6LhBrMHNad5z7bwvhFP7B0636evrotXc6s7XRoxpyi0DMKVT2oqjtUdbCq/pjvVpIkAZ4ziAb5tpOwsuUmDFWOdPFQn7OZPrQrrghh0Ktf8++5G8jMshIgJrQ4MR9iOdBURBqLSCVgEDDLgTiMCQkdzqjFx/f14LouDXl1yXYue3Ep63ZZCRATOoKaKERkKvAVnn6OVBG5TVWzgWHAPGAjME1V1wczDmNCXdXKkTzevzVTbu3Mocws+o9bxosLtlgJEBMSrMy4MSEm/ehxHpm5nlnfpdG2QSzPDGzLWfHVnA7LhIHCRj0VmihE5DD+O5lrlF54pcsShakI5qxN4x8frSMzK4cRfc4mJjqKp+ZvJi09g4RYN8N7N6d/cqEDBo05bYUlikJHPalqde8b/wXsAd7EM2LpOqB6kOI0xnj1bZNA50a1eOj9tYyavYEIgVzvV7dd6RmM/CAFwJKFCbpA+ih6q+pLqnpYVQ+p6svAlcEOzBgDdWpEM/HmTsS6o35PEnkysnIYM2+TM4GZsBJIosgRketExCUiESJyHWDj94wpIyLCwYwsn8+lpVuRQRN8gSSKa/EU5PvZe7va22aMKSMJsW6f7fHVK5dxJCYcBVI9doeq9lPVOFWNV9X+qrqjDGIzxngN790cd5TrlPb0o8eZ/Z3NVzXBFUj12GYisiCvVLiItBGRfwQ/NGNMnv7JiYwe0JrEWDcCJMa6GXV5C1onxXLv1NU8MnMdx7LtirAJjkCqxy4ChgPjVTXZ27YurxpsKLLhsSZcZOXk8uSn3/Pqku20SYph3LXtaVCritNhmXKqJEuhVlHVbwu0WalLY0JAlCuC/7u0BRNu6MD2/Ue49IUlzN/ws9NhmQomkESxX0TOwjv5TkSuAnYHNSpjzGm5uGU95t7bgzNqV+WON1Yw+uONZFn5D1NKAkkU9+BZCvVsEdkFPAAMDWZQxpjT17B2FaYP7coN557B+MXbuPbVr9lzMNPpsEwF4DdReJctvUtVLwTigbNV9TxVteXjjAlB0VEuHuvfiucHtWN92iH+9MISlmzZ53RYppzzmyhUNQfo4H18RFUPl0lUxpgS6dcukVnDziO+WmVunPgtz87fTE7Bqd3GBCiQS0+rRWSWiNwgIgPybkGPzBhTIk3qVOOje7ozIDmJ5xds4aaJ37L/t2NOh2XKoUASRS3gAPBH4DLvrW8wgzLGlA53JRdPD2zLk1e2YfmOX/jT80v4dntJF6k04cbWozAmTGzcfYi7317FT78cZXjv5gzpcSYREb6WsDfh6rTLjOd7YzRwG9ASiM5rV9VbSzVCY0xQnVO/BrOGdWfE+yk88cn3LN/+C08PbEtslUpOh2ZCXCCXnt4E6gG9gUVAEmCd2saUQ9Wjoxh7bTL/vLwli7fs49IXlrJmZ7rTYZkQF0iiaKKqDwNHVHUKcCnQOrhhGWOCRUS4qVsjZgztBsDVr3zJ5GXbqYiXoU3pCCRR5BXCTxeRVkAM0ChoERljykTbBrHMve88zm8az6jZGxj2zmoOZ/pe98KEt0ASxQQRqQk8DMwCNgD/DWpUxpgyEVulEq/e2JGRl5zNp+v3cNmLS9mQdsjpsEyIsVFPxhgAvt3+C/dOXUX60Sz+1a8lAzs2QMRGRYWTYlePFZHaIvKiiKwSkZUi8pyI1A5OmMYYp3RuXIu59/WgU6NaPPR+Cn+d/h1Hj1uhaBPYpad3gb3AlcBVwH7gvWAGZYxxRly1yky5tTMPXNiUD1fvov+4ZWzda4Mcw11AM7NV9TFV3e69PQ7EBjkuY4xDXBHCAxc2441bO3Pgt+NcPnYZM9fscjos46BAEsVCERkkIhHe20BgbrADM8Y4q0fTeObe14OWCTW4/901/N+HKWRm2XKr4SiQpVAPA1WBvFVQIoAj3seqqjWCF17xWGe2MaUnKyeXp/63ifGLttEqsQZXtEtk4rIdpKVnkBDrZnjv5vRPTnQ6TFMKCuvMtlFPxpiAzN/wM/e+s5LM7JP/ZrijXIwe0NqSRQVQkjWzEZE2InK5E2XGRaSniCwRkVdEpGdZHdcYc7KLWtQlxkddqIysHMbM2+RARKasBFIUcCLQBljPictPCnwQ4Hv7AntVtVW+9j7A84ALeE1Vn/CzGwV+w1OQMLWoYxpjgmfvId/rWaSlZ5RxJKYsFZkogHNVtUUx9z8ZGAu8kdfgXV51HHARnj/8y0VkFp6kMbrA+28FlqjqIhGpCzwDXFfMWIwxJZQQ62aXj6QQX72yA9GYshLIpaevRKRYiUJVFwMFV0npDGxV1W2qehzPPI1+qpqiqn0L3Paqat5ZzK9Aof8bRWSIiKwQkRX79tkawcYEw/DezXFHuU5pP5hxnMWb7feuogokUUzBkyw2ichaEUkRkbUlOGYisDPfdqq3zSdvn8h4POXOxxb2OlWdoKodVbVjfHx8CcIzxhSmf3Iiowe0JjHWjQCJsW4e7nsOjeOqcfOkb3l9qVWhrYgCufQ0EbgBSOFEH0VJ+CoeU+j/LFX9gAD6Q4wxZaN/cuIpI5wGdWrIX6at4bE5G9i05xCP9W9F5chTzzxM+RRIovhJVWeV4jFTgQb5tpOAtFLcvzGmjFWtHMnL13XguQVbeGHBFrbtO8LL13ewvosKIpBLT9+LyDsiMriUhscuB5qKSGMRqQQMwlO+3BhTjkVECH+5qBnjrm3PurSD9Bu7lPVpB50Oy5SCQBKFGzgGXAxc5r31DWTnIjIV+ApoLiKpInKbqmYDw4B5wEZgmqquL07wxpjQc2mb+swY2g0Frnr5Kz5O2e10SKaEbGa2MSYo9h0+xp1vrmDVT+ncf0FT7r+gKRERtr5FKCvJehRJIvKhiOwVkZ9F5H0RSQpOmMaYiiK+emWmDjmXqzok8fyCLdzzzipb36KcCuTS0yQ8fQgJeIaxzva2GWOMX5UjXYy5qg3/uPQc5q3fw5Uvf0Xqr0edDsucpkASRbyqTlLVbO9tMmATFYwxARERbu9xJpNu6Uzqr0fpN3YZy3cUnIdrQlkgiWK/iFwvIi7v7XrgQLADM8ZULH9oFs9H93Qnxh3Fta9+zXvLf3I6JBOgQBLFrcBAYA+wG89yqLcGMyhjTMV0Vnw1Pry7O+eeWZuH3k9h1Kz1ZOeUxjxeE0xFTrhT1Z+Ay8sgFmNMGIipEsWkmzvxxCff89rS7fyw7zfGDm5PTJUop0MzhQhk1NMUEYnNt13TWz7cGGOKJdIVwT/6tuDJq9rwzbZf6DduKVv3/uZ0WKYQgVx6aqOq6XkbqvorkBy0iIwxYWNgxwZMHdKF345lc8W4ZSzctNfpkIwPgSSKCBGpmbchIrUIrEaUMcYUqcMZtZg57Dwa1KrCbZOX8+ribVaBNsQEkiieBr4UkcdE5F/Al8CTwQ3LGBNOEmPdzLirK5e0qs+/P97IX6d/R2ZWjtNhGa9AOrPfEJEVwB/xlAgfoKobgh6ZMSasVKkUydhrk2n+eXWemb+Z7fuPMP76DtSpEe10aGHPaj0ZY0LOp+t28+f3viPGHcWrN3akdVKM0yGFhWLXejLGmLLWp1V93r+rG64I4erxXzL7O1uyxkmWKIwxIalFQg1mDutOm8RY7p26mqfmbSI3t+JdASkP/CYKb8mOz8oqGGOMyS+uWmXeur0Lgzo1YOzCrdz51kp+O2YVaMua30ShqjnAURGxC4TGGEdUioxg9IDWjLqsBZ9/v5crX/qSnb9YBdqyFMh8iEwgRUTmA0fyGlX1vqBFZYwx+YgIN3dvTJM61bnnnVVcPnYp13VpyIer00hLzyAh1s3w3s3pn5zodKgVUpGjnkTkJl/tqjolKBGVAhv1ZEzFtX3/Ea4Z/yV7Dx8/qd0d5WL0gNaWLEqgsFFPgcyjmCIilYBm3qZNqppV2gEaY0wgGsdVxRVx6lXzjKwcxszbZIkiCIpMFCLSE5gC7MAz4a6BiNykqouDGpkxxhRiz8FMn+1p6RllHEl4CKSP4mngYlXdBCAizYCpQIdgBmaMMYVJiHWzy0dSqBtjs7iDIZB5FFF5SQJAVTcDVjjeGOOY4b2b445yndKenZ3Djv1HfLzDlEQgiWKliLwuIj29t1eBlcEOzBhjCtM/OZHRA1qTGOtG8BQVfODCpuQiDHj5S1b99KvTIVYogYx6qgzcA5yHp49iMfCSqh4LfnjFY6OejAlPO/Yf4aZJ37LnYCYvDE6md8t6TodUrhSr1pOIRAArVfUZVR2gqleo6rOhnCSMMeGrUVxVPrirG+fUr8HQt1Yyedl2p0OqEIqamZ0LfCciDcsoHmOMKZHa1Soz9Y5zufCcuoyavYF/z91gNaJKKJBRT/WB9SLyLSfPzL48aFEZY0wJuCu5eOX6Dvxr9npeXbKdtIOZPH11W6J9dICbogWSKP4Z9CiMMaaUuSKEUZe3JKlmFf798Ub2Hsrk1Rs7ElulktOhlTt+E4W3j2KcqrYqo3h8xdADuA5PrC1UtZtTsRhjyhcR4Y7zz6R+bDR/ee87Brz8JVNu6UyDWlWcDq1cCWofhYhMFJG9IrKuQHsfEdkkIltFZEQRMSxR1aHAHDwzxI0x5rT0bZPAW7d34cBvx7nipS9Zm5rudEjlSiDzKPL6KBaIyKy8W4D7nwz0yd8gIi5gHHAJ0AIYLCItRKS1iMwpcKuT763X4pkRbowxp61z41q8f1c3oqMiuGb813z+/c9Oh1RuBLWPQlUXi0ijAs2dga2qug1ARN4F+qnqaKCvr/14z2gOquqhwo4lIkOAIQANG9ogLWPMqZrUqcYHd3fjtskruH3KCh7v35pru9jfi6IUeUahqovwFASM8j5eDqwqwTETgZ35tlO9bf7cBkzy9wJVnaCqHVW1Y3x8fAnCM8ZUZHWqR/PukHP5Q7N4/v5hCk9++j1FTTwOd0UmChG5A5gBjPc2JQIfleCY4qPN77+Sqj6qql+W4JjGGPO7qpUjefXGjgzu3JCXvviBP7+3huPZuU6HFbICufR0D57LRd8AqOqWAn0HpysVaJBvOwlIK8H+jDHmtEW6IvjPFa1IqulmzLxN/HzoGK/c0IEYt9U8LSiQzuxjqvr7UlIiEkkRZwBFWA40FZHG3gWRBgGBdo4bY0ypERHu6dWEZ69py4off+HqV770Wb483AWSKBaJyN8Bt4hcBEwHZgeycxGZCnwFNBeRVBG5TVWzgWHAPGAjME1V1xcvfGOMKbkrkpOYcktndqdnMuClZaxPO+h0SCElkOqxEXg6ky/G078wD3hNQ7j3x6rHGmOKY9Oew9w86VsOZWTx8vUdOL9ZeA2MKVb1WPBMulPVV/HMjv43MDOUk4QxxhRX83rV+fDu7jSsXZVbJy9n2oqdRb8pDBSaKETkFRFp6X0cA6wB3gBWi8jgsgnPGGPKVr2YaKbdeS5dz6rN32as5dn5m8N++Ky/M4oe+foObgE2q2prPGtl/y3okRljjEOqR0cx8eZOXN0hiecXbOFvM9aSlRO+w2f9DY89nu9xXic2qrpHxNdUCGOMqTiiXBE8eVUbEmu6ee6zLew5lMlL17WnenT4DZ/1d0aRLiJ9RSQZ6A58Cr8Pj3WXRXDGGOMkEeGBC5vx5FVt+OqHAwwc/zV7DmY6HVaZ85co7sQzjHUS8ICq7vG2XwDMDXZgxhgTKgZ2bMDEmzvx04EjDHhpGZv2HHY6pDJV5PDY8siGxxpjgmF92kFumbScjKwcxt/QgW5nxTkdUqkqbHhsoYlCRF7wt0NVva+UYit1liiMMcGyKz2DWyZ9y/b9RxhzVVv6JxdV07T8KCxR+OvMHgqsA6bhqcVkPdjGmLCXGOtm+tBu3PnmCh54bw3zN+xhzc500tIzSYh1M7x38wqVPMB/oqgPXA1cA2QD7wHvq+qvZRGYMcaEqhh3FFNu7cy1E75mbsqe39t3pWcw8oMUgAqVLArtzFbVA6r6iqr2Am4GYvGsdHdDGcVmjDEhq3Kki92HTh0BlZGVw5h5mxyIKHiKLDMuIu2BwXjmUnwCrAx2UMYYUx7sTvc9VDatglWgLTRRiMg/8SxNuhF4FxjprfxqjDEGSIh1+yxLXjcm2oFogsffPIqHgRigLTAaWCUia0UkRUTWlkl0xhgTwob3bo47ynVKe25uboU6q/B36alxmUVRBrKyskhNTSUzM/xmVUZHR5OUlERUVPiVHjAmmPI6rMfM20RaegYJsW6uSE5gypc/ctXLX/Lm7V04K76aw1GW3GlPuBMRFzBIVd8OTkgl52sexfbt26levTq1a9cmnGpVqSoHDhzg8OHDNG5coXK/MSFr3a6D3DTxWwCm3NqZVokxDkcUmNNej0JEaojISBEZKyIXi8e9wDZgYDCDDYbMzMywSxLgqVVTu3btsDyTMsYprRJjmD60K9FRLgZP+Jpvth1wOqQS8ddH8SbQHEgBbgf+B1wF9FPVfmUQW6kLtySRJ1x/bmOcdGZ8NWbc1ZU6NSpz48RvWbDxZ6dDKjZ/ieJMVb1ZVcfjGR7bEeirqmvKJDJjjCnn6sd4ZnE3r1edIW+u5KPVu5wOqVj8JYqsvAeqmgNsV9WwKZn40epddH/icxqPmEv3Jz4vt//Axhhn1apaiXfuOJcujWvxwHtrmLxsu9MhnTZ/iaKtiBzy3g4DbfIei8ihsgrQCR+t3sXID1LYlZ6BcmJaviULY0xxVKscycSbO3Fxi7qMmr2B5z4rX8urFjo8VlVPHRxcQfxz9no2pBWe61b/lM7xAsseZmTl8LcZa5n67U8+39MioQaPXtbS73F37NhBnz59OO+88/j6669p27Ytt9xyC48++ih79+7l7bffpmXLltx7772kpKSQnZ3NqFGj6NevHzt27OCGG27gyJEjAIwdO5Zu3brxxRdfMGrUKOLi4li3bh0dOnTgrbfesn4JY0JMdJSLl65rz4gPUnjusy2kH83ikb4tiIgI/d/VIkt4hKOCSaKo9tOxdetWpk+fzoQJE+jUqRPvvPMOS5cuZdasWfznP/+hRYsW/PGPf2TixImkp6fTuXNnLrzwQurUqcP8+fOJjo5my5YtDB48mLwhwKtXr2b9+vUkJCTQvXt3li1bxnnnnVfiWI0xpSvSFcGTV7Yh1h3Fa0u3czAjiyevakOUy9/FHeeFZaIo6pt/9yc+9zktPzHWzXt3di3RsRs3bkzr1q0BaNmyJRdccAEiQuvWrdmxYwepqanMmjWLp556CvAM6/3pp59ISEhg2LBhrFmzBpfLxebNm3/fZ+fOnUlKSgKgXbt27NixwxKFMSEqIkL4v0vPoWbVSoyZt4nDmVmMvbY90T5meIeKsEwURRneuzkjP0ghIyvn9zZ3lIvhvZuXeN+VK1f+/XFERMTv2xEREWRnZ+NyuXj//fdp3vzkY40aNYq6devy3XffkZubS3R0tM99ulwusrOtJJcxoUxEuKdXE2q4o3hk5jpunPgtr93UkRrRoVk9IbTPdxzSPzmR0QNakxjrRvCcSYwe0LpM6sv37t2bF1988feOrtWrVwNw8OBB6tevT0REBG+++SY5OTn+dmOMKQduOPcMnrumHat+/JXBE75m/2/HnA7JJzujKET/5ERHFh55+OGHeeCBB2jTpg2qSqNGjZgzZw533303V155JdOnT6dXr15UrVq1zGMzxpS+fu0SqREdxV1vr2TgK1/x5u1dSIx1Ox3WSU671lN54KvW08aNGznnnHMcish54f7zGxPqlu/4hVsnL6da5UjevK0LTeqUfTHB0671FCpEpIWITBORl0XkKqfjMcaYYOjUqBbvDelKVo4ycPxXrE1Ndzqk3wU1UYjIRBHZKyLrCrT3EZFNIrJVREYUsZtLgBdV9S7gxqAFa4wxDmuRUIMZQ7tSpZKnmOCXP+x3OiQg+GcUk4E++Ru8ZcrH4UkALYDB3rOG1iIyp8CtDp7ihINEZAxQO8jxGmOMoxrFVWXG0G4kxLq5edJy/rd+j9MhBTdRqOpi4JcCzZ2Braq6TVWP41lmtZ+qpqhq3wK3vd7bPcAIoND0KiJDRGSFiKzYt29f0H4mY4wJtnox0Uy7syvn1K/BXW+vYsbKVEfjcaKPIhHYmW871dvmk4g0EpEJwBvAmMJep6oTVLWjqnaMj48vtWCNMcYJNatW4p3bu3DumbV4cPp3vL7UuWKCTgyP9VXYpNChV6q6AxgStGiMMSZEVfUWE7x/6hoem7OBg0eP8+eLmpV5LTcnzihSgQb5tpOANAfi8G/tNHi2FYyK9dyvnVbqh3juuec4evSoz+cmT57MsGHDSv2YxpjypXKki7HXJnNNxwa88PlWHp21ntzcsp3W4ESiWA40FZHGIlIJGATMciCOwq2dBrPvg4M7AfXcz76v1JOFv0RhjDF5Il0RPHFla+48/0ze+OpH/jxtDVmlUKQ04OMHc+ciMhXoCcSJSCrwqKq+LiLDgHmAC5ioquuDGccpPhkBe1IKfz51OeQUmEqflQEzh8HKKb7fU681XPJEobs8cuQIAwcOJDU1lZycHK6++mrS0tLo1asXcXFxLFy4kEmTJjF69Gjq169Ps2bNTqrhZIwJbyLCyD+dQ0yVKJ78dBOHM7MZd2173JWCX0wwqIlCVQcX0v4x8HEwj10iBZNEUe0B+PTTT0lISGDu3LmAp3bTpEmTWLhwIXFxcezevZtHH32UlStXEhMTQ69evUhOTi728YwxFdPdPZsQ447iHx+t48aJ3/DaTZ2IcQe3mGB41nry880f8PRJHNx5antMA7hlbrEO2bp1ax588EEeeugh+vbtS48ePU56/ptvvqFnz57kjdi65pprTiolbowxea7rcgY1oqP4y7Q1DJ7wNVNu7Ux89eBdgQjPRFGUCx7x9Elk5VuTIsrtaS+mZs2asXLlSj7++GNGjhzJxRdffMprbFU6Y0ygLmubQA13FEPfXMklzy3C5Ypg76FjJMS6Gd67eakWNQ35Wk+OaDMQLnvBcwaBeO4ve8HTXkxpaWlUqVKF66+/ngcffJBVq1ZRvXp1Dh8+DECXLl344osvOHDgAFlZWUyfPr2UfhhjTEX1h2bxDDm/MfuPZPHzoWMosCs9g5EfpPDR6l2ldhw7oyhMm4ElSgwFpaSkMHz4cCIiIoiKiuLll1/mq6++4pJLLqF+/fosXLiQUaNG0bVrV+rXr0/79u1tzQljTJFmrDw1IWRk5TBm3qZSO6uwMuNhItx/fmMqqsYj5vqcsSzA9icuPa19ldsy48YYYwqXUMgiR4W1F4clCmOMKceG926OO+rkuRTuKBfDezcvtWOEVR+FqoblyKKKeHnRGOOR1w8xZt4m0tIzgjLqKWwSRXR0NAcOHKB27dphlSxUlQMHDhAdHe10KMaYIOmfnFiqiaGgsEkUSUlJpKamEo5rVURHR5OUlOR0GMaYcipsEkVUVBSNGzd2OgxjjCl3rDPbGGOMX5YojDHG+GWJwhhjjF8Vcma2iOwDfnQ6jhKKA/Y7HUQIsc/jBPssTmafxwkl/SzOUNX4go0VMlFUBCKywtdU+nBln8cJ9lmczD6PE4L1WdilJ2OMMX5ZojDGGOOXJYrQNcHpAEKMfR4n2GdxMvs8TgjKZ2F9FMYYY/yyMwpjjDF+WaIwxhjjlyWKECIiDURkoYhsFJH1InK/0zGFAhFxichqEZnjdCxOE5FYEZkhIt97/590dTomp4jIn72/J+tEZKqIhFWJZBGZKCJ7RWRdvrZaIjJfRLZ472uWxrEsUYSWbOCvqnoOcC5wj4i0cDimUHA/sNHpIELE88Cnqno20JYw/VxEJBG4D+ioqq0AFzDI2ajK3GSgT4G2EcACVW0KLPBul5glihCiqrtVdZX38WE8fwSCV2S+HBCRJOBS4DWnY3GaiNQAzgdeB1DV46qa7mhQzooE3CISCVQB0hyOp0yp6mLglwLN/YAp3sdTgP6lcSxLFCFKRBoBycA3DofitOeAvwG5DscRCs4E9gGTvJfiXhORqk4H5QRV3QU8BfwE7AYOqur/nI0qJNRV1d3g+eIJ1CmNnVqiCEEiUg14H3hAVQ85HY9TRKQvsFdVVzodS4iIBNoDL6tqMnCEUrq0UN54r733AxoDCUBVEbne2agqLksUIUZEovAkibdV9QOn43FYd+ByEdkBvAv8UUTecjYkR6UCqaqad5Y5A0/iCEcXAttVdZ+qZgEfAN0cjikU/Cwi9QG893tLY6eWKEKIeBbzfh3YqKrPOB2P01R1pKomqWojPB2Vn6tq2H5rVNU9wE4Rae5tugDY4GBITvoJOFdEqnh/by4gTDv2C5gF3OR9fBMwszR2GjZLoZYT3YEbgBQRWeNt+7uqfuxcSCbE3Au8LSKVgG3ALQ7H4whV/UZEZgCr8IwWXE2YlfIQkalATyBORFKBR4EngGkichueZHp1qRzLSngYY4zxxy49GWOM8csShTHGGL8sURhjjPHLEoUxxhi/LFEYY4zxyxKFMQWISI6IrPFWJZ0uIlW87fVE5F0R+UFENojIxyLSTEQaiUiG9z15txtLKZaeVjXXOM3mURhzqgxVbQcgIm8DQ0XkWeBDYIqqDvI+1w6oC+wEfsh7T0mIiEtVc0rw/khVzS5pHMbkZ4nCGP+WAG2AXkCWqr6S94SqroHfCzgWSUQuwFPILhJYDtylqse8JUomAhcDY0UkHU8xxP14JpTlvb8q8CLQ2ruPUao6U0RuxlNhNxqoCvyxmD+rMT7ZpSdjCuEtX30JkAK0AvwVJzyrwKWnHgX2FY1n/YBrVDXvD/1d+V6SqarnAR8BrwKXAT2Aevle8394yph0wpO4xuSrHtsVuElVLUmYUmeJwphTub0lVFbgKYPwegDv+UFV2+W7LSnwfHM8Rew2e7en4FlbIs973vuzva/bop6yCfmLIF4MjPDG9gWeM4iG3ufmq2rBtQmMKRV26cmYU2UU7G8QkfXAVSXYpxTx/JF8jwurqyPAlaq6qUBsXQq835hSZWcUxgTmc6CyiNyR1yAinUTkDwG+/3ugkYg08W7fACwq5HWNReQs7/bgfM/NA+71VktFRJJP5wcwprgsURgTAO9loCuAi7zDY9cDozix/GbBPor7Crw/E0+l1+kikoJnxb5XKMD7uiHAXBFZCvyY7+nHgChgrYis824bE3RWPdYYY4xfdkZhjDHGL0sUxhhj/LJEYYwxxi9LFMYYY/yyRGGMMcYvSxTGGGP8skRhjDHGr/8HnNhqlDD75AIAAAAASUVORK5CYII=\n", + "image/png": "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", "text/plain": [ "
" ] @@ -876,7 +877,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -919,7 +920,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -960,7 +961,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1040,7 +1041,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -1140,7 +1141,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] diff --git a/tutorials/easyvvuq_in_r.ipynb b/tutorials/easyvvuq_in_r.ipynb index b1f4e179a..0cc6bb0cc 100644 --- a/tutorials/easyvvuq_in_r.ipynb +++ b/tutorials/easyvvuq_in_r.ipynb @@ -11,11 +11,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "activated-devices", "metadata": {}, "source": [ - "In this tutorial we will use the ```reticulate``` package in R to interface with EasyVVUQ. This tutorial is similar to the basic tutorial in EasyVVUQ. The idea here is that you would use R to generate a sampling plan for EasyVVUQ to manage and execute and then retrieve the simulation results back into R. To this end we don't use any of the EasyVVUQ sampling and analysis tools." + "In this tutorial, we will use the ```reticulate``` package in R to interface with EasyVVUQ. This tutorial is similar to the basic tutorial in EasyVVUQ. The idea here is that you would use R to generate a sampling plan for EasyVVUQ to manage and execute and then retrieve the simulation results back into R. To this end, we don't use any of the EasyVVUQ sampling and analysis tools." ] }, { @@ -30,7 +31,11 @@ "cell_type": "code", "execution_count": 1, "id": "powered-adoption", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [ { "name": "stderr", @@ -52,7 +57,11 @@ "cell_type": "code", "execution_count": 2, "id": "dirty-vintage", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "library(\"reticulate\")" @@ -70,7 +79,11 @@ "cell_type": "code", "execution_count": 3, "id": "concerned-ratio", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "uq <- import('easyvvuq')\n", @@ -90,7 +103,11 @@ "cell_type": "code", "execution_count": 4, "id": "crucial-shooting", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "params <- dict(\n", @@ -116,7 +133,11 @@ "cell_type": "code", "execution_count": 5, "id": "following-publisher", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "encoder <- uq$encoders$GenericEncoder(template_fname='beam.template', delimiter='$', target_filename='input.json')\n", @@ -130,25 +151,34 @@ "cell_type": "code", "execution_count": 6, "id": "central-colon", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "campaign <- uq$Campaign(name='beam', params=params, actions=actions)" ] }, { + "attachments": {}, "cell_type": "markdown", "id": "individual-knight", "metadata": {}, "source": [ - "We specify a data frame with the points we will use to evaluate the model on. In this case three points will be evaluated. This data frame represents a sampling plan as required to use whatever analysis method you want." + "We specify a data frame with the points we will use to evaluate the model on. In this case, three points will be evaluated. This data frame represents a sampling plan as required to use whatever analysis method you want." ] }, { "cell_type": "code", "execution_count": 7, "id": "nonprofit-edward", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "df <- data.frame(\n", @@ -171,7 +201,11 @@ "cell_type": "code", "execution_count": 8, "id": "neural-roberts", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "campaign$set_sampler(sampling$DataFrameSampler(df=df))" @@ -181,7 +215,11 @@ "cell_type": "code", "execution_count": 9, "id": "graphic-table", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [], "source": [ "campaign$execute()$collate()" @@ -199,7 +237,11 @@ "cell_type": "code", "execution_count": 10, "id": "executive-maria", - "metadata": {}, + "metadata": { + "vscode": { + "languageId": "r" + } + }, "outputs": [ { "data": { diff --git a/tutorials/easyvvuq_mcmc.ipynb b/tutorials/easyvvuq_mcmc.ipynb index 1260a6fb7..ec3e5f2f9 100644 --- a/tutorials/easyvvuq_mcmc.ipynb +++ b/tutorials/easyvvuq_mcmc.ipynb @@ -65,11 +65,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "royal-camel", "metadata": {}, "source": [ - "Next we define a helper function to create a campaign, sample the search space and return the corresponding DataFrame." + "Next, we define a helper function to create a campaign, sample the search space and return the corresponding DataFrame." ] }, { @@ -174,7 +175,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -194,11 +195,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "mineral-barrier", "metadata": {}, "source": [ - "Finally let us plot a histogram of this data." + "Finally, let us plot a histogram of this data." ] }, { @@ -214,7 +216,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAD5CAYAAAA6JL6mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAANqElEQVR4nO3df4xdZZ3H8c+nnWkrWAIsFPoDF0gaFU20OKkoRl1EU9GImGgw0dVgMvEPE0jWGIyJif+Y6B/EuOsmO1EiZlU0ka4E+VV3rYQoaKEttAxoJRjKzNJlVX4kBjr26x9ziJPpnbln+jz33vOt71cymTP3nvs93z739jPPnDnPXEeEAAB5rRp1AwCAMgQ5ACRHkANAcgQ5ACRHkANAcgQ5ACQ3VqOI7SckPS/pL5LmImJiuf3XeG2s06k1Dg0AKXh8vLjGc0ePPBMRZy++vUqQN/4pIp5ps+M6nao3+10VDw0A3Ta2YWNxjTuf+tff97qdUysAkFytIA9Jd9t+wPZkpZoAgBZqnVq5NCJmbG+QtMv2oxFxz8IdmoCflKR1OqXSYQEAVWbkETHTfD4iaaek7T32mYqIiYiYGNfaGocFAKhCkNs+1fb6l7clvUfSgdK6AIB2apxaOUfSTtsv1/teRNxZoS4AoIXiII+IxyW9oUIvAIATwOWHAJAcQQ4AyRHkAJBczSX6AIAlHDvnjPIiT/W+mRk5ACRHkANAcgQ5ACRHkANAcgQ5ACRHkANAcgQ5ACRHkANAcgQ5ACRHkANAcizRB4AhWPX0HwdXe2CVAQBDQZADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHLVgtz2att7bd9WqyYAoL+aKzuvlTQt6bSKNQFg5FZtu6i4xtzeRyp00luVGbntLZLeJ+mbNeoBANqrdWrla5I+J+lYpXoAgJaKg9z2+yUdiYgH+uw3aXuP7T1H9WLpYQEAjRoz8kslfcD2E5JulnSZ7f9cvFNETEXERERMjGtthcMCAKQKQR4Rn4+ILRFxvqSrJf1PRHysuDMAQCtcRw4AyVV9Y4mI2C1pd82aAIDlMSMHgOQIcgBIjiAHgOR482UA6ONYheX1Y5s2ljfyVO+bmZEDQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkxxJ9ACe1Gkvj52ZmO1FjKczIASA5ghwAkiPIASA5ghwAkiPIASA5ghwAkiPIASA5ghwAkisOctvrbP/K9n7bB21/qUZjAIB2aqzsfFHSZRHxgu1xSffaviMi7qtQGwDQR3GQR0RIeqH5crz5iNK6AFBjef2fX7+5uMb4AJfX11DlHLnt1bb3SToiaVdE3N9jn0nbe2zvOaoXaxwWAKBKQR4Rf4mIN0raImm77df32GcqIiYiYmJca2scFgCgyletRMSfJO2WtKNmXQDA0mpctXK27dOb7VdIulzSo6V1AQDt1LhqZaOkm2yv1vw3hh9GxG0V6gIAWqhx1cpDkrZV6AUAcAJY2QkAyRHkAJAcQQ4AyRHkAJBcjatWAGAgpr+8qbjG1k/uqdBJtzEjB4DkCHIASI4gB4DkCHIASI4gB4DkCHIASI4gB4DkCHIASI4gB4DkCHIASI4l+gAG5ndfu6To8aed8WylTk5uzMgBIDmCHACSI8gBIDmCHACSI8gBIDmCHACSKw5y2+fZ/pntadsHbV9bozEAQDs1riOfk/QvEfGg7fWSHrC9KyIeqVAbANBH8Yw8ImYj4sFm+3lJ05I2l9YFALRT9Ry57fMlbZN0f826AIClVVuib/uVkn4k6bqIeK7H/ZOSJiVpnU6pdVgAHfahd/yq6PH7tx2r1EmZsU0bi2vMzcxW6KS3KjNy2+OaD/HvRsQtvfaJiKmImIiIiXGtrXFYAIDqXLViSd+SNB0RN5S3BABYiRoz8kslfVzSZbb3NR9XVKgLAGih+Bx5RNwryRV6AQCcAFZ2AkByBDkAJEeQA0ByBDkAJEeQA0ByBDkAJFdtiT6Ak8vHHnuquMb3rn53YYVu/BHVQS6vr4EZOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkx8rOAqVvyNr11WJ/j7r+JrttPfnFtxbXuOHfyvvYsPcX5UXQFzNyAEiOIAeA5AhyAEiOIAeA5AhyAEiOIAeA5KoEue0bbR+xfaBGPQBAe7Vm5N+WtKNSLQDAClQJ8oi4R9IfatQCAKwM58gBILmhLdG3PSlpUpLWrV6vsXNPfCl0F5ZAo3tqLK/vghrL639wzQ3FNT57/iXFNTAcQ5uRR8RURExExMSaVa8Y1mEB4KTHqRUASK7W5Yffl/RLSa+2fdj2p2rUBQD0V+UceUR8tEYdAMDKcWoFAJIjyAEgOYIcAJIjyAEgOYIcAJIjyAEguaEt0V8ojh49KZbZl/4bVm27qLiHVU//sbhGDV14PrvQgySt2V32pwJe2nesuIfPXXVNcY2xTeWvra48Jyc7ZuQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJjWSJPuYd2/tIeZEKy/z/922nl/ehC4oe/e5r7ivu4Jafby+ucegj/1Fc48K731T0+K3XlY9F+SL/OjUwHMzIASA5ghwAkiPIASA5ghwAkiPIASC5KkFue4ftx2wfsn19jZoAgHaKg9z2aknfkPReSRdJ+qjt8mviAACt1JiRb5d0KCIej4iXJN0s6coKdQEALdQI8s2Snlzw9eHmNgDAENRY2eket8VxO9mTkiYlaZ1OqXBYAIBUJ8gPSzpvwddbJM0s3ikipiRNSdJpPvO4oMeJqbHMf8Pe8j7GNpW9c/zD976muIdXnT1XXON9X91RXOO1x7/8V6T8X1H+fEjS3MxshU5ODl0fzxqnVn4taavtC2yvkXS1pFsr1AUAtFA8I4+IOdufkXSXpNWSboyIg8WdAQBaqfLXDyPidkm316gFAFgZVnYCQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHJVriMHipcfV1i+PF5coc7y+C5geX1dXR9PZuQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJFQW57Q/bPmj7mO2JWk0BANornZEfkPQhSfdU6AUAcAKK3lgiIqYlyXadbgAAK8Y5cgBIru+M3PZPJZ3b464vRMSP2x7I9qSkSUlap1NaNwgAWF7fII+Iy2scKCKmJE1J0mk+M2rUBABwagUA0iu9/PAq24clvUXST2zfVactAEBbpVet7JS0s1IvAIATwKkVAEiOIAeA5AhyAEiOIAeA5AhyAEiOIAeA5AhyAEiOIAeA5IoWBAGob2zTxuIaczOzFToZPcaiHWbkAJAcQQ4AyRHkAJAcQQ4AyRHkAJAcQQ4AyRHkAJAcQQ4AyRHkAJAcQQ4AyTkihn9Q+/8k/X4FDzlL0jMDaqc2eh0Meh0Meh2MQfX6jxFx9uIbRxLkK2V7T0RMjLqPNuh1MOh1MOh1MIbdK6dWACA5ghwAkssS5FOjbmAF6HUw6HUw6HUwhtprinPkAIClZZmRAwCW0Mkgt/1h2wdtH7O95G9+bT9h+2Hb+2zvGWaPC3po2+sO24/ZPmT7+mH2uKCHM23vsv3b5vMZS+w3snHtN06e9/Xm/odsXzzM/hb10q/Xd9p+thnHfba/OKI+b7R9xPaBJe7v0pj267UTY9r0cp7tn9mebjLg2h77DGdsI6JzH5JeK+nVknZLmlhmvyckndX1XiWtlvQ7SRdKWiNpv6SLRtDrVyVd32xfL+krXRrXNuMk6QpJd0iypEsk3T+i571Nr++UdNso+lvUx9slXSzpwBL3d2JMW/baiTFtetko6eJme72k34zq9drJGXlETEfEY6Puo42WvW6XdCgiHo+IlyTdLOnKwXd3nCsl3dRs3yTpgyPoYTltxulKSd+JefdJOt12+Rs7rlxXntO+IuIeSX9YZpeujGmbXjsjImYj4sFm+3lJ05I2L9ptKGPbySBfgZB0t+0HbE+OupllbJb05IKvD+v4J3wYzomIWWn+RShpwxL7jWpc24xTV8aybR9vsb3f9h22Xzec1lasK2PaVufG1Pb5krZJun/RXUMZ27HaBduy/VNJ5/a46wsR8eOWZS6NiBnbGyTtsv1o8x29qgq9usdtA7lcaLleV1BmKOPaQ5txGtpY9tGmjwc1v6T6BdtXSPovSVsH3dgJ6MqYttG5MbX9Skk/knRdRDy3+O4eD6k+tiML8oi4vEKNmebzEds7Nf/jbvXAqdDrYUnnLfh6i6SZwpo9Lder7adtb4yI2ebHuyNL1BjKuPbQZpyGNpZ99O1j4X/qiLjd9r/bPisiuvb3Qroypn11bUxtj2s+xL8bEbf02GUoY5v21IrtU22vf3lb0nsk9fxNdwf8WtJW2xfYXiPpakm3jqCPWyV9otn+hKTjfpoY8bi2GadbJf1zczXAJZKeffl00ZD17dX2ubbdbG/X/P+3/x96p/11ZUz76tKYNn18S9J0RNywxG7DGdtR/+Z3id8GX6X572QvSnpa0l3N7Zsk3d5sX6j5KwX2Szqo+dMcnew1/vbb699o/kqHUfX6D5L+W9Jvm89ndm1ce42TpE9L+nSzbUnfaO5/WMtc1dSBXj/TjOF+SfdJeuuI+vy+pFlJR5vX6qc6PKb9eu3EmDa9vE3zp0kekrSv+bhiFGPLyk4ASC7tqRUAwDyCHACSI8gBIDmCHACSI8gBIDmCHACSI8gBIDmCHACS+yvwo3m00+DXpwAAAABJRU5ErkJggg==\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAD5CAYAAAA6JL6mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Il7ecAAAACXBIWXMAAAsTAAALEwEAmpwYAAANqElEQVR4nO3df4xdZZ3H8c+nnWkrWAIsFPoDF0gaFU20OKkoRl1EU9GImGgw0dVgMvEPE0jWGIyJif+Y6B/EuOsmO1EiZlU0ka4E+VV3rYQoaKEttAxoJRjKzNJlVX4kBjr26x9ziJPpnbln+jz33vOt71cymTP3nvs93z739jPPnDnPXEeEAAB5rRp1AwCAMgQ5ACRHkANAcgQ5ACRHkANAcgQ5ACQ3VqOI7SckPS/pL5LmImJiuf3XeG2s06k1Dg0AKXh8vLjGc0ePPBMRZy++vUqQN/4pIp5ps+M6nao3+10VDw0A3Ta2YWNxjTuf+tff97qdUysAkFytIA9Jd9t+wPZkpZoAgBZqnVq5NCJmbG+QtMv2oxFxz8IdmoCflKR1OqXSYQEAVWbkETHTfD4iaaek7T32mYqIiYiYGNfaGocFAKhCkNs+1fb6l7clvUfSgdK6AIB2apxaOUfSTtsv1/teRNxZoS4AoIXiII+IxyW9oUIvAIATwOWHAJAcQQ4AyRHkAJBczSX6AIAlHDvnjPIiT/W+mRk5ACRHkANAcgQ5ACRHkANAcgQ5ACRHkANAcgQ5ACRHkANAcgQ5ACRHkANAcizRB4AhWPX0HwdXe2CVAQBDQZADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHLVgtz2att7bd9WqyYAoL+aKzuvlTQt6bSKNQFg5FZtu6i4xtzeRyp00luVGbntLZLeJ+mbNeoBANqrdWrla5I+J+lYpXoAgJaKg9z2+yUdiYgH+uw3aXuP7T1H9WLpYQEAjRoz8kslfcD2E5JulnSZ7f9cvFNETEXERERMjGtthcMCAKQKQR4Rn4+ILRFxvqSrJf1PRHysuDMAQCtcRw4AyVV9Y4mI2C1pd82aAIDlMSMHgOQIcgBIjiAHgOR482UA6ONYheX1Y5s2ljfyVO+bmZEDQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkxxJ9ACe1Gkvj52ZmO1FjKczIASA5ghwAkiPIASA5ghwAkiPIASA5ghwAkiPIASA5ghwAkisOctvrbP/K9n7bB21/qUZjAIB2aqzsfFHSZRHxgu1xSffaviMi7qtQGwDQR3GQR0RIeqH5crz5iNK6AFBjef2fX7+5uMb4AJfX11DlHLnt1bb3SToiaVdE3N9jn0nbe2zvOaoXaxwWAKBKQR4Rf4mIN0raImm77df32GcqIiYiYmJca2scFgCgyletRMSfJO2WtKNmXQDA0mpctXK27dOb7VdIulzSo6V1AQDt1LhqZaOkm2yv1vw3hh9GxG0V6gIAWqhx1cpDkrZV6AUAcAJY2QkAyRHkAJAcQQ4AyRHkAJBcjatWAGAgpr+8qbjG1k/uqdBJtzEjB4DkCHIASI4gB4DkCHIASI4gB4DkCHIASI4gB4DkCHIASI4gB4DkCHIASI4l+gAG5ndfu6To8aed8WylTk5uzMgBIDmCHACSI8gBIDmCHACSI8gBIDmCHACSKw5y2+fZ/pntadsHbV9bozEAQDs1riOfk/QvEfGg7fWSHrC9KyIeqVAbANBH8Yw8ImYj4sFm+3lJ05I2l9YFALRT9Ry57fMlbZN0f826AIClVVuib/uVkn4k6bqIeK7H/ZOSJiVpnU6pdVgAHfahd/yq6PH7tx2r1EmZsU0bi2vMzcxW6KS3KjNy2+OaD/HvRsQtvfaJiKmImIiIiXGtrXFYAIDqXLViSd+SNB0RN5S3BABYiRoz8kslfVzSZbb3NR9XVKgLAGih+Bx5RNwryRV6AQCcAFZ2AkByBDkAJEeQA0ByBDkAJEeQA0ByBDkAJFdtiT6Ak8vHHnuquMb3rn53YYVu/BHVQS6vr4EZOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkx8rOAqVvyNr11WJ/j7r+JrttPfnFtxbXuOHfyvvYsPcX5UXQFzNyAEiOIAeA5AhyAEiOIAeA5AhyAEiOIAeA5KoEue0bbR+xfaBGPQBAe7Vm5N+WtKNSLQDAClQJ8oi4R9IfatQCAKwM58gBILmhLdG3PSlpUpLWrV6vsXNPfCl0F5ZAo3tqLK/vghrL639wzQ3FNT57/iXFNTAcQ5uRR8RURExExMSaVa8Y1mEB4KTHqRUASK7W5Yffl/RLSa+2fdj2p2rUBQD0V+UceUR8tEYdAMDKcWoFAJIjyAEgOYIcAJIjyAEgOYIcAJIjyAEguaEt0V8ojh49KZbZl/4bVm27qLiHVU//sbhGDV14PrvQgySt2V32pwJe2nesuIfPXXVNcY2xTeWvra48Jyc7ZuQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJjWSJPuYd2/tIeZEKy/z/922nl/ehC4oe/e5r7ivu4Jafby+ucegj/1Fc48K731T0+K3XlY9F+SL/OjUwHMzIASA5ghwAkiPIASA5ghwAkiPIASC5KkFue4ftx2wfsn19jZoAgHaKg9z2aknfkPReSRdJ+qjt8mviAACt1JiRb5d0KCIej4iXJN0s6coKdQEALdQI8s2Snlzw9eHmNgDAENRY2eket8VxO9mTkiYlaZ1OqXBYAIBUJ8gPSzpvwddbJM0s3ikipiRNSdJpPvO4oMeJqbHMf8Pe8j7GNpW9c/zD976muIdXnT1XXON9X91RXOO1x7/8V6T8X1H+fEjS3MxshU5ODl0fzxqnVn4taavtC2yvkXS1pFsr1AUAtFA8I4+IOdufkXSXpNWSboyIg8WdAQBaqfLXDyPidkm316gFAFgZVnYCQHIEOQAkR5ADQHIEOQAkR5ADQHIEOQAkR5ADQHJVriMHipcfV1i+PF5coc7y+C5geX1dXR9PZuQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJEeQAkBxBDgDJFQW57Q/bPmj7mO2JWk0BANornZEfkPQhSfdU6AUAcAKK3lgiIqYlyXadbgAAK8Y5cgBIru+M3PZPJZ3b464vRMSP2x7I9qSkSUlap1NaNwgAWF7fII+Iy2scKCKmJE1J0mk+M2rUBABwagUA0iu9/PAq24clvUXST2zfVactAEBbpVet7JS0s1IvAIATwKkVAEiOIAeA5AhyAEiOIAeA5AhyAEiOIAeA5AhyAEiOIAeA5IoWBAGob2zTxuIaczOzFToZPcaiHWbkAJAcQQ4AyRHkAJAcQQ4AyRHkAJAcQQ4AyRHkAJAcQQ4AyRHkAJAcQQ4AyTkihn9Q+/8k/X4FDzlL0jMDaqc2eh0Meh0Meh2MQfX6jxFx9uIbRxLkK2V7T0RMjLqPNuh1MOh1MOh1MIbdK6dWACA5ghwAkssS5FOjbmAF6HUw6HUw6HUwhtprinPkAIClZZmRAwCW0Mkgt/1h2wdtH7O95G9+bT9h+2Hb+2zvGWaPC3po2+sO24/ZPmT7+mH2uKCHM23vsv3b5vMZS+w3snHtN06e9/Xm/odsXzzM/hb10q/Xd9p+thnHfba/OKI+b7R9xPaBJe7v0pj267UTY9r0cp7tn9mebjLg2h77DGdsI6JzH5JeK+nVknZLmlhmvyckndX1XiWtlvQ7SRdKWiNpv6SLRtDrVyVd32xfL+krXRrXNuMk6QpJd0iypEsk3T+i571Nr++UdNso+lvUx9slXSzpwBL3d2JMW/baiTFtetko6eJme72k34zq9drJGXlETEfEY6Puo42WvW6XdCgiHo+IlyTdLOnKwXd3nCsl3dRs3yTpgyPoYTltxulKSd+JefdJOt12+Rs7rlxXntO+IuIeSX9YZpeujGmbXjsjImYj4sFm+3lJ05I2L9ptKGPbySBfgZB0t+0HbE+OupllbJb05IKvD+v4J3wYzomIWWn+RShpwxL7jWpc24xTV8aybR9vsb3f9h22Xzec1lasK2PaVufG1Pb5krZJun/RXUMZ27HaBduy/VNJ5/a46wsR8eOWZS6NiBnbGyTtsv1o8x29qgq9usdtA7lcaLleV1BmKOPaQ5txGtpY9tGmjwc1v6T6BdtXSPovSVsH3dgJ6MqYttG5MbX9Skk/knRdRDy3+O4eD6k+tiML8oi4vEKNmebzEds7Nf/jbvXAqdDrYUnnLfh6i6SZwpo9Lder7adtb4yI2ebHuyNL1BjKuPbQZpyGNpZ99O1j4X/qiLjd9r/bPisiuvb3Qroypn11bUxtj2s+xL8bEbf02GUoY5v21IrtU22vf3lb0nsk9fxNdwf8WtJW2xfYXiPpakm3jqCPWyV9otn+hKTjfpoY8bi2GadbJf1zczXAJZKeffl00ZD17dX2ubbdbG/X/P+3/x96p/11ZUz76tKYNn18S9J0RNywxG7DGdtR/+Z3id8GX6X572QvSnpa0l3N7Zsk3d5sX6j5KwX2Szqo+dMcnew1/vbb699o/kqHUfX6D5L+W9Jvm89ndm1ce42TpE9L+nSzbUnfaO5/WMtc1dSBXj/TjOF+SfdJeuuI+vy+pFlJR5vX6qc6PKb9eu3EmDa9vE3zp0kekrSv+bhiFGPLyk4ASC7tqRUAwDyCHACSI8gBIDmCHACSI8gBIDmCHACSI8gBIDmCHACS+yvwo3m00+DXpwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] diff --git a/tutorials/encoder_decoder_tutorial.ipynb b/tutorials/encoder_decoder_tutorial.ipynb index 333de99a5..5306dc016 100644 --- a/tutorials/encoder_decoder_tutorial.ipynb +++ b/tutorials/encoder_decoder_tutorial.ipynb @@ -17,11 +17,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "lightweight-actress", "metadata": {}, "source": [ - "In this tutorial we will describe what is needed in order to use EasyVVUQ with your existing simulation code. Some other steps might need to be taken depending on the method of execution chose. For example you might need to also create a Docker container for your simulation. This is discussed in other tutorials. Note that this tutorial is mostly read-only due to the fact that the encoder/decoder code in isolation does not really do anything. To this end cell cells contain the special ```%%script false``` tag." + "In this tutorial, we will describe what is needed to use EasyVVUQ with your existing simulation code. Some other steps might need to be taken depending on the method of execution chosen. For example, you might need to also create a Docker container for your simulation. This is discussed in other tutorials. Note that this tutorial is mostly read-only because the encoder/decoder code in isolation does not do anything. To this end cell cells contain the special ```%%script false``` tag." ] }, { @@ -68,11 +69,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "electoral-flavor", "metadata": {}, "source": [ - "The simplest type of encoder is the ```GenericEncoder``` which is a simple template based encoder. To use it you need to prepare a template input file. This file should replace all numerical values you want to vary during sampling with strings of the form ```$key``` where ```$``` can be literally the dollar sign or can be replaced by some other delimiter when instantiating the encoder. The ```key``` part is to be replaced by the name of the variable in the ```vary``` dictionary." + "The simplest type of encoder is the ```GenericEncoder``` which is a simple template-based encoder. To use it you need to prepare a template input file. This file should replace all numerical values you want to vary during sampling with strings of the form ```$key``` where ```$``` can be the dollar sign or can be replaced by some other delimiter when instantiating the encoder. The ```key``` part is to be replaced by the name of the variable in the ```vary``` dictionary." ] }, { @@ -159,14 +161,15 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "enormous-carnival", "metadata": {}, "source": [ - "The JinjaEncoder works very much like the GenericEncoder, with the difference that the template can contain more complicated expressions, and even Python code.\n", + "The JinjaEncoder works very much like the GenericEncoder, with the difference that the template can contain more complicated expressions and even Python code.\n", "\n", "Variables and expressions are written inside double braces: `{{var1}}`\n", - "Jinja has the concept of filters, used with a `|` (pipe) charachter. For instance, `{{var1 | int}}` converts var1 to an integer.\n", + "Jinja has the concept of filters, used with a `|` (pipe) character. For instance, `{{var1 | int}}` converts var1 to an integer.\n", "\n", "You can also write Python expressions inside the braces. For example, you can format floating point variables to a certain precision using Python string formatting:\n", "`'%0.3f' % thevariable`\n", @@ -178,7 +181,7 @@ "\n", "**Sidebar example: scaling multiple input parameters using one sampled value**\n", "\n", - "The key method to have multiple input variables be multiplied by the same randomly generated sample value is to have the base values defined as constant parameters, while the sample value is a separate parameter that generated from a distribution.\n", + "The key method to have multiple input variables be multiplied by the same randomly generated sample value is to have the base values defined as constant parameters, while the sample value is a separate parameter generated from a distribution.\n", "\n", "For instance, if we have a random number `rn`, and we would like to parameters `r1` and `r2` to be scaled with `rn`, then we can define the parameters as follows:\n", "\n", @@ -253,11 +256,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "vocational-refund", "metadata": {}, "source": [ - "DirectoryBuilder is used to create a directory structure inside the run directory. Again, some simulations need this. You want to use this encoder with other encoders and you want to specify it as the first encodder. Combining encoders is discussed in the next section." + "DirectoryBuilder is used to create a directory structure inside the run directory. Again, some simulations need this. You want to use this encoder with other encoders and you want to specify it as the first encoder. Combining encoders is discussed in the next section." ] }, { @@ -325,11 +329,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "demographic-sacrifice", "metadata": {}, "source": [ - "Decoders will tend to vary more since the parsing of simulation output is a more complex topic. We provide several options that should cover at least some common formats. The most common one (probably) being CSV (comma separated values) file type. If these are not enough it isn't difficult to write your own provided that the simulation output format is somewhat sensible. If it isn't it should still be generally possible." + "Decoders will tend to vary more since the parsing of simulation output is a more complex topic. We provide several options that should cover at least some common formats. The most common one (probably) is CSV (comma-separated values) file type. If these are not enough it isn't difficult to write your own provided that the simulation output format is somewhat sensible. If it isn't it should still be generally possible." ] }, { @@ -403,11 +408,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "smaller-airfare", "metadata": {}, "source": [ - "This decoder, predictably, can be used to parse CSV files. The only notable difference between this and previous decoders is that usually the values will be vectors (columns of the CSV files). So you would use this in situations where you want to work with vector quantities of interest." + "This decoder, predictably, can be used to parse CSV files. The only notable difference between this and previous decoders is that usually, the values will be vectors (columns of the CSV files). So you would use this in situations where you want to work with vector quantities of interest." ] }, { @@ -453,19 +459,21 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "found-requirement", "metadata": {}, "source": [ - "The methods defined above are the ones you must define for you decoder. The arguments to `__init__` should be of the same form as the arguments in the pre-defined decoders. The `run_info` has several different fields, but the relevant one is `run_dir` that contains the absolute path to the run directory (and where you will find the simulation output usually). " + "The methods defined above are the ones you must define for your decoder. The arguments to `__init__` should be of the same form as the arguments in the pre-defined decoders. The `run_info` has several different fields, but the relevant one is `run_dir` which contains the absolute path to the run directory (and where you will find the simulation output usually). " ] }, { + "attachments": {}, "cell_type": "markdown", "id": "friendly-negative", "metadata": {}, "source": [ - "The method `parse_sim_output` is responsible for parsing the simulation output and returning the data in an EasyVVUQ compatible format. This format is very simple - it is a single level deep dictionary where keys are variable names and values are either scalar values or lists if they are vectors. " + "The method `parse_sim_output` is responsible for parsing the simulation output and returning the data in an EasyVVUQ-compatible format. This format is very simple - it is a single-level deep dictionary where keys are variable names and values are either scalar values or lists if they are vectors. " ] }, { diff --git a/tutorials/hyperparameter_tuning_tutorial_with_fabsim.ipynb b/tutorials/hyperparameter_tuning_tutorial_with_fabsim.ipynb index 84adb83dc..cd8eae916 100644 --- a/tutorials/hyperparameter_tuning_tutorial_with_fabsim.ipynb +++ b/tutorials/hyperparameter_tuning_tutorial_with_fabsim.ipynb @@ -1,13 +1,13 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "05c43ea9", "metadata": {}, "source": [ "## Tuning the hyperparameters of a neural network using EasyVVUQ and FabSim3\n", - "\n", - "In this tutorial we will use the EasyVVUQ `GridSampler` to perform a grid search on the hyperparameters of a simple Keras neural network model, trained to recognize hand-written digits. This is the famous MNIST data set, of which 4 input features (of size 28 x 28) are show below. These are fed into a standard feed-forward neural network, which will predict the label 0-9.\n", + "In this tutorial, we will use the EasyVVUQ `GridSampler` to perform a grid search on the hyperparameters of a simple Keras neural network model, trained to recognize hand-written digits. This is the famous MNIST data set, of which 4 input features (of size 28 x 28) are shown below. These are fed into a standard feed-forward neural network, which will predict the label 0-9.\n", "\n", "The (Keras) neural network script is located in `mnist/keras_mnist.template`, which will form the input template for the EasyVVUQ encoder. We will assume you are familiar with the basic EasyVVUQ building blocks. If not, you can look at the [basic tutorial](https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/basic_tutorial.ipynb)." ] @@ -104,11 +104,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "898a0d57", "metadata": {}, "source": [ - "Most of these are self explanatory. Here, `CONFIG` is the name of the script that gets executed for each sample, in this case `grid_search`, which is located in `FabUQCampaign/templates/grid_search`. Its contents are essentially just runs our Python code `hyper_param_tune.py`:" + "Most of these are self-explanatory. Here, `CONFIG` is the name of the script that gets executed for each sample, in this case, `grid_search`, which is located in `FabUQCampaign/templates/grid_search`. Its contents are essentially just running our Python code `hyper_param_tune.py`:" ] }, { @@ -127,13 +128,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "5c0c006f", "metadata": {}, "source": [ - "Here, `hyper_param_tune` is generated by the EasyVVUQ encoder, see below. The flag `PILOT_JOB` regulates the use of the QCG PilotJob mechanism. If `True`, FabSim will submit the ensemble to the (remote) host as a QCG PilotJob, which essentially means that all invididual jobs of the ensemble will get packaged into a single job allocation, thereby circumventing the limit on the maximum number of simultaneous jobs that is present on many supercomputers. For more info on the QCG PilotJob click [here](https://github.com/vecma-project/QCG-PilotJob). In this example we'll run the samples on the localhost (see `MACHINE`), and hence we set `PILOT_JOB=False`.\n", + "Here, `hyper_param_tune` is generated by the EasyVVUQ encoder, see below. The flag `PILOT_JOB` regulates the use of the QCG PilotJob mechanism. If `True`, FabSim will submit the ensemble to the (remote) host as a QCG PilotJob, which essentially means that all individual jobs of the ensemble will get packaged into a single job allocation, thereby circumventing the limit on the maximum number of simultaneous jobs that is present on many supercomputers. For more info on the QCG PilotJob click [here](https://github.com/vecma-project/QCG-PilotJob). In this example, we'll run the samples on the localhost (see `MACHINE`), and hence we set `PILOT_JOB=False`.\n", "\n", - "As is standard in EasyVVUQ, we now define the parameter space. In this case these are 4 hyperparameters. There is one hidden layer with `n_neurons` neurons, a Dropout layer after the input and hidden layer, with dropout probability `dropout_prob_in` and `dropout_prob_hidden` respectively. We made the `learning_rate` tuneable as well." + "As is standard in EasyVVUQ, we now define the parameter space. In this case, these are 4 hyperparameters. There is one hidden layer with `n_neurons` neurons, a Dropout layer after the input and a hidden layer, with dropout probability `dropout_prob_in` and `dropout_prob_hidden` respectively. We made the `learning_rate` tuneable as well." ] }, { @@ -151,11 +153,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "7b41214c", "metadata": {}, "source": [ - "These 4 hyperparameter appear as flags in the input template `mnist/keras_mnist.template`. Typically this is generated from an input file used by some simualtion code. In this case however, `mnist/keras_mnist.template` is directly our Python script, with the hyperparameters replaced by flags. For instance:\n", + "These 4 hyperparameters appear as flags in the input template `mnist/keras_mnist.template`. Typically this is generated from an input file used by some simulation code. In this case, however, `mnist`/keras_mnist.template` is directly our Python script, with the hyperparameters replaced by flags. For instance:\n", "\n", "```python\n", "model = tf.keras.models.Sequential([\n", @@ -216,11 +219,12 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "bbbba5f8", "metadata": {}, "source": [ - "As with the uncertainty-quantification (UQ) samplers, the `vary` is used to select which of the `params` we actually vary. Unlike the UQ samplers we do not specify an input probability distribution. This being a grid search, we simply specify a list of values for each hyperparameter. Parameters not in `vary`, but with a flag in the template, will be given the default value specified in `params`." + "As with the uncertainty-quantification (UQ) samplers, the `vary` is used to select which of the `params` we vary. Unlike the UQ samplers, we do not specify an input probability distribution. This being a grid search, we simply specify a list of values for each hyperparameter. Parameters not in `vary`, but with a flag in the template, will be given the default value specified in `params`." ] }, { @@ -234,13 +238,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "612e912c", "metadata": {}, "source": [ - "**Note:** we are mixing integer and floats in the `vary` dict. Other data types (string, boolean) can also be used.\n", + "**Note:** we are mixing integers and floats in the `vary` dict. Other data types (string, boolean) can also be used.\n", "\n", - "The `vary` dict is passed to the `Grid_Sampler`. As can be seen, it created a tensor product of all 1D points specified in `vary`. If a single tensor product is not useful (e.g. because it creates combinations of parameters that do not makes sense), you can also pass a list of different `vary` dicts. For even more flexibility you can also write the required parameter combinations to a CSV file, and pass it to the `CSV_Sampler` instead." + "The `vary` dict is passed to the `Grid_Sampler`. As can be seen, it created a tensor product of all 1D points specified in `vary`. If a single tensor product is not useful (e.g. because it creates combinations of parameters that do not make sense), you can also pass a list of different `vary` dicts. For even more flexibility you can also write the required parameter combinations to a CSV file, and pass it to the `CSV_Sampler` instead." ] }, { @@ -479,29 +484,30 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "907c295d", "metadata": {}, "source": [ "Briely:\n", "\n", - "* `fab.run_uq_ensemble`: this command submits the ensemble to the (remote) host for execution. Under the hood it uses the FabSim3 `campaign2ensemble` subroutine to copy the run directories from `WORK_DIR` to the FabSim3 `SWEEP` directory, located in `config_files/grid_search/SWEEP`. From there the ensemble will be sent to the (remote) host.\n", - "* `fab.wait`: this will check every minute on the status of the jobs on the remote host, and sleep otherwise, halting further execution of the script. On the localhost this command doesn't do anything.\n", - "* `fab.verify`: this will execute the `verify_last_ensemble` subroutine to see if the output file `target_filename` for each run in the `SWEEP` directory is present in the corresponding FabSim3 results directory. Returns a boolean flag. `fab.verify` will also call the FabSim `fetch_results` method, which actually retreives the results from the (remote) host. So, if you want to just get the results without verifying the presence of output files, call `fab.fetch_results(machine=MACHINE)` instead. However, if something went wrong on the (remote) host, this will cause an error later on since not all required output files will be transfered on the EasyVVUQ `WORK_DIR`.\n", + "* `fab.run_uq_ensemble`: this command submits the ensemble to the (remote) host for execution. Under the hood, it uses the FabSim3 `campaign2ensemble` subroutine to copy the run directories from `WORK_DIR` to the FabSim3 `SWEEP` directory, located in `config_files/grid_search/SWEEP`. From there the ensemble will be sent to the (remote) host.\n", + "* `fab.wait`: this will check every minute on the status of the jobs on the remote host, and sleep otherwise, halting further execution of the script. On the localhost, this command doesn't do anything.\n", + "* `fab.verify`: this will execute the `verify_last_ensemble` subroutine to see if the output file `target_filename` for each run in the `SWEEP` directory is present in the corresponding FabSim3 results directory. Returns a boolean flag. `fab.verify` will also call the FabSim `fetch_results` method, which retrieves the results from the (remote) host. So, if you want to just get the results without verifying the presence of output files, call `fab.fetch_results(machine=MACHINE)` instead. However, if something went wrong on the (remote) host, this will cause an error later on since not all required output files will be transferred on the EasyVVUQ `WORK_DIR`.\n", "* `fab.get_uq_samples`: copies the samples from the (local) FabSim results directory to the (local) EasyVVUQ campaign directory. It will not delete the results from the FabSim results directory. If you want to save space, you can delete the results on the FabSim side (see `results` directory in your FabSim home directory). You can also call `fab.clear_results(machine, name_results_dir)` to remove a specific FabSim results directory on a given machine.\n", "\n", "#### Error handling\n", "\n", - "If `all_good == False` something went wrong on the (remote) host, and `sys.exit()` is called in our example, giving you the opportunity of investigating what went wrong. It can happen that a (small) number of jobs did not get executed on the remote host for some reason, whereas (most) jobs did execute succesfully. In this case simply resubmitting the failed jobs could be an option:\n", + "If `all_good == False` something went wrong on the (remote) host, and `sys.exit()` is called in our example, giving you the opportunity of investigating what went wrong. It can happen that a (small) number of jobs did not get executed on the remote host for some reason, whereas (most) jobs did execute successfully. In this case, simply resubmitting the failed jobs could be an option:\n", "\n", "```python\n", "fab.remove_succesful_runs(CONFIG, campaign.campaign_dir)\n", "fab.resubmit_previous_ensemble(CONFIG, 'grid_search')\n", "```\n", "\n", - "The first command removes all succesful run directories from the `SWEEP` dir for which the output file `TARGET_FILENAME` has been found. For this to work, `fab.verify` must have been called. Then, `fab.resubmit_previous_ensemble` simply resubmits the runs that are present in the `SWEEP` directory, which by now only contains the failed runs. After the jobs have finished, call `fab.verify` again to see if now `TARGET_FILENAME` is present in the results directory, for every run in the `SWEEP` dir.\n", + "The first command removes all successful run directories from the `SWEEP` dir for which the output file `TARGET_FILENAME` has been found. For this to work, `fab.verify` must have been called. Then, `fab.resubmit_previous_ensemble` simply resubmits the runs that are present in the `SWEEP` directory, which by now only contains the failed runs. After the jobs have finished, call `fab.verify` again to see if now `TARGET_FILENAME` is present in the results directory, for every run in the `SWEEP` dir.\n", "\n", - "Once we are sure we have all required output files, the role of FabSim is over, and we proceed with decoding the output files. In this case, our Python script wrote the training and test accuracy to a CSV file, hence we use the `SimpleCSV` decoder. \n", + "Once we are sure we have all the required output files, the role of FabSim is over, and we proceed with decoding the output files. In this case, our Python script wrote the training and test accuracy to a CSV file, hence we use the `SimpleCSV` decoder. \n", "\n", "**Note**: It is also possible to use a more flexible HDF5 format, by using `uq.decoders.HDF5` instead." ] @@ -754,13 +760,14 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "5d3a07de", "metadata": {}, "source": [ "## Executing a grid search on a remote host\n", "\n", - "To run the example script on a remote host, a number of changes must be made. Ensure the remote host is defined in `machines.yml` in your FabSim3 directory, as well as the user login information. Assuming we'll run the ensemble on the Eagle super computer at the Poznan Supercomputing and Networking Center , the entry in `machines_user.yml` could look similar to the following:\n", + "To run the example script on a remote host, some changes must be made. Ensure the remote host is defined in `machines.yml` in your FabSim3 directory, as well as the user login information. Assuming we'll run the ensemble on the Eagle supercomputer at the Poznan Supercomputing and Networking Center, the entry in `machines_user.yml` could look similar to the following:\n", "\n", "```\n", "eagle_vecma:\n", @@ -780,12 +787,12 @@ " \n", " * `home_path_template`: the remote root directory for FabSim3, such that for instance the results on the remote machine will be stored in `home_path_template/FabSim3/results`.\n", " * `budget`: the name of the computational budget that you are allowed to use.\n", - " * `cores`: the number of cores to use *per run*. Our simple Keras script justs need a single core, but applications which already have some built-in paralellism will require more cores.\n", + " * `cores`: the number of cores to use *per run*. Our simple Keras script just needs a single core, but applications that already have some built-in parallelism will require more cores.\n", " * `job_wall_time`: a time limit *per run*, and *without* the use of the QCG PilotJob framework.\n", " * `PJ_size`: the number of *nodes*, in the case *with* the use of the QCG PilotJob framework. \n", " * `PJ_wall_time`: a *total* time limit, and *with* the use of the QCG PilotJob framework.\n", "\n", - "To automatically setup the ssh keys, and prevent having to login manually for every random sample, run the following from the command line:\n", + "To automatically setup the ssh keys, and prevent having to log in manually for every random sample, run the following from the command line:\n", "\n", "```\n", "fabsim eagle_vecma setup_ssh_keys\n", From c46dfcfcf9cd526c8ac8e86f55a0a577c99a1c19 Mon Sep 17 00:00:00 2001 From: Maziar Ghorbani Date: Mon, 27 Mar 2023 11:11:33 +0100 Subject: [PATCH 2/3] Typo corrected --- docs/source/old/basic_tutorial.rst | 30 +++++++++---------- docs/source/old/cooling_coffee_cup.rst | 12 ++++---- docs/source/old/custom_encoder.rst | 2 +- docs/source/old/dask_tutorial.rst | 22 +++++++------- docs/source/old/fusion_tutorial.rst | 30 +++++++++---------- docs/source/old/hier_sparse_grid_tutorial.rst | 10 +++---- docs/source/old/relocate.rst | 12 ++++---- docs/source/old/validate_similarities.rst | 18 +++++------ docs/source/old/workflow_changes.rst | 24 +++++++-------- 9 files changed, 80 insertions(+), 80 deletions(-) diff --git a/docs/source/old/basic_tutorial.rst b/docs/source/old/basic_tutorial.rst index af0cb5985..16e189ba2 100644 --- a/docs/source/old/basic_tutorial.rst +++ b/docs/source/old/basic_tutorial.rst @@ -54,13 +54,13 @@ The `gauss.template` is a template input file, in JSON format :: The values for each key are tags (signified by the ``$`` delimiter) which will be substituted by EasyVVUQ with values to sample the parameter space. In the following tutorial, the template will be used to generate files called -`in_file.json` that will be the input to each run of `gauss.py`. +`in_file.json` will be the input to each run of `gauss.py`. Uncertainty Quantification Workflow ----------------------------------- -In this dummy workflow we will use the *gauss* application to produce values -from normal distributions centred on 3 different means `mu`), using 5 repeat +In this dummy workflow, we will use the *gauss* application to produce values +from normal distributions centered on 3 different means `mu`), using 5 repeat ('replica') runs for each one. The output will be collected for each run and bootstrap statistics calculated for each set of runs. @@ -75,7 +75,7 @@ Sections 1 to 9 contain the core EasyVVUQ workflow, section 0 sets up convenience variables related to the application. .. note:: In this tutorial application execution is handled locally and by - EasyVVUQ functions. In real world applications (especially for HPC + EasyVVUQ functions. In real-world applications (especially for HPC applications the run step is beyond the scope of EasyVVUQ. To run the workflow execute the following command :: @@ -88,7 +88,7 @@ If this works you should see 15 lines that look something like: where `` is the directory in which you ran the script and `EasyVVUQ_Campaign_zxe7_cb2` is an example of the unique directory that -EasyVVUQ created to hold all of the files created relating to a campaign. +EasyVVUQ was created to hold all of the files created relating to a campaign. Followed by a results table that looks like: @@ -107,7 +107,7 @@ The statistics represent the variation across the 5 replica runs executed for each of the 3 'mu' values sampled. Below we go through each section of the workflow, explaining each step and the -EasyVVUQ elements used to perform them. +EasyVVUQ elements are used to perform them. Section 0: Application Setup ----------------------------------- @@ -140,7 +140,7 @@ Consequently, the first step of an EasyVVUQ workflow is to create a my_campaign = uq.Campaign(name='gauss', work_dir=".") The reason for having a name is that in some cases it may be necessary to -combine the output of multiple *Campaigns* in a single analysis and having a +combine the output of multiple *Campaigns* in a single analysis and have a name allows the data from each to be identified easily. Section 2: Define Parameter Space @@ -193,15 +193,15 @@ The only two parameters which could (somewhat) sensibly be sampled are 'mu' Nonetheless we need to provide a range for 'num_steps'. Notice that the keys in the parameter description match the tags in the template. -.. note:: The names of parameters here does not need to match the input of the - application directly. In the next section we will see how *Decoder* +.. note:: The name of parameters here does not need to match the input of the + application directly. In the next section, we will see how *Decoder* elements map the parameter space to the application inputs. Section 3: Wrap Application --------------------------- -In order for an application to be used in an EasyVVUQ workflow two processes +For an application to be used in an EasyVVUQ workflow two processes have to be accounted for: 1. the parameters being sampled need to be converted into a format that @@ -226,7 +226,7 @@ We create the encoder using the following code:: .. note:: The tags in the template here use the default $ delimiter. Different delimiters can be specified using the `delimiter` keyword. -The output of *gauss* is a CSV format files, so we use a *Decoder* called *SimpleCSV*. +The output of *gauss* is a CSV format file, so we use a *Decoder* called *SimpleCSV*. This requires us to specify the file to be read, the location of the header (line 0) and the columns to keep in the data for analysis:: @@ -265,9 +265,9 @@ In this example we simply pick 'mu' values from a uniform distribution between my_campaign.set_sampler(my_sampler) -Real world examples are likely to use more complicated algorithms (such as +Real-world examples are likely to use more complicated algorithms (such as quasi-Monte Carlo or stochastic collocation) but the way of specifying -parameters to vary remains the same. +parameters to vary remain the same. Section 5: Get Run Parameters ----------------------------- @@ -280,7 +280,7 @@ We draw samples the number of samples we want from the *Sampler*:: replicas=5) Here we have chosen to have 5 replicas (repeats) of each sample drawn. -At this stage all that happens is the parameter sets are added to the +At this stage, all that happens is the parameter sets are added to the *CampaignDB*, no input files have been generated. Section 6: Create Input Directories @@ -306,7 +306,7 @@ command we specified in Step 0:: Section 8: Collate Output ------------------------- -The collection of simulation output simply handled by the *Campaign*:: +The collection of simulation output is simply handled by the *Campaign*:: my_campaign.collate() diff --git a/docs/source/old/cooling_coffee_cup.rst b/docs/source/old/cooling_coffee_cup.rst index 0525a4710..69dc2be75 100644 --- a/docs/source/old/cooling_coffee_cup.rst +++ b/docs/source/old/cooling_coffee_cup.rst @@ -3,18 +3,18 @@ A Cooling Coffee Cup with Polynomial Chaos Expansion ==================================================== -In this tutorial we will perform a Polynomial Chaos Expansion for a model of a cooling coffee cup. +In this tutorial, we will perform a Polynomial Chaos Expansion for a model of a cooling coffee cup. The model uses Newton's law of cooling to evolve the temperature, :math:`T`, over time (:math:`t`) in an environment at :math:`T_{env}`: .. math:: \frac{dT(t)}{dt} = -\kappa (T(t) -T_{env}) The constant :math:`\kappa` characterizes the rate at which the coffee cup transfers heat to the environment. -In this example we will analyze this model using the polynomial chaos expansion (PCE) UQ algorithm. +In this example, we will analyze this model using the polynomial chaos expansion (PCE) UQ algorithm. e will use a constant initial temperature :math:`T_0 = 95 ^\circ\text{C}`, and vary :math:`\kappa` and :math:`T_{env}` using a uniform distribution in the ranges :math:`0.025-0.075` and :math:`15-25` respectively. Below we provide a commented script that shows how the Campaign is built up and then employed. -We also provide an outline of how each element is setup. +We also provide an outline of how each element is set up. EasyVVUQ Script Overview ------------------------ @@ -31,7 +31,7 @@ To run the script execute the following command Import necessary libraries -------------------------- -For this example we import both easyvvuq and chaospy (for the distributions). EasyVVUQ will be referred to as 'uq' in the code. :: +For this example, we import both easyvvuq and chaospy (for the distributions). EasyVVUQ will be referred to as 'uq' in the code. :: import easyvvuq as uq import chaospy as cp @@ -73,7 +73,7 @@ In this example the GenericEncoder and SimpleCSV, both included in the core Easy GenericEncoder performs simple text substitution into a supplied template, using a specified delimiter to identify where parameters should be placed. The template is shown below (\$ is used as the delimiter). -The template substitution approach is likely to suit most simple applications but in practice many large applications have more complex requirements, for example the multiple input files or the creation of a directory hierarchy. +The template substitution approach is likely to suit most simple applications but in practice, many large applications have more complex requirements, for example the multiple input files or the creation of a directory hierarchy. In such cases, users may write their own encoders by extending the BaseEncoder class. :: { @@ -93,7 +93,7 @@ As can be inferred from its name SimpleCSV reads CVS files produced by the cooli The Sampler ----------- -The user specified which parameters will vary and their corresponding distributions. In this case the kappa and t\_env parameters are varied, both according to a uniform distribution: :: +The user specified which parameters will vary and their corresponding distributions. In this case, the kappa and t\_env parameters are varied, both according to a uniform distribution: :: vary = { "kappa": cp.Uniform(0.025, 0.075), diff --git a/docs/source/old/custom_encoder.rst b/docs/source/old/custom_encoder.rst index 37a7d018c..6836801d0 100644 --- a/docs/source/old/custom_encoder.rst +++ b/docs/source/old/custom_encoder.rst @@ -54,7 +54,7 @@ A custom decoder can be created in a very similar manner to the encoder: :: The two methods that must be implemented here are sim_complete(), which returns True if the simulation has completed (this is handled by -the decoder because it is an application specific issue), and +the decoder because it is an application-specific issue), and parse_sim_output(), which returns a dictionary containing the desired output, distilled from the simulation output files. This dictionary has to follow the following list of restrictions: diff --git a/docs/source/old/dask_tutorial.rst b/docs/source/old/dask_tutorial.rst index f5eaa46c0..13b595aea 100644 --- a/docs/source/old/dask_tutorial.rst +++ b/docs/source/old/dask_tutorial.rst @@ -3,10 +3,10 @@ A Cooling Coffee Cup - Using Dask Jobqueue to Run on Clusters ============================================================= -In this tutorial we expand the previous :doc:`example +In this tutorial, we expand the previous :doc:`example ` and move our computations to computing clusters. In order to run it you will need access to one. And if you -have access to one you most likely don't need explaining what they are +have access to one you most likely don't need to explain what they are or how they fit in the work you do. So we will skip that part. We will also skip the parts that are the same as in the previous tutorial. We only outline the parts that will be different from when you ran it on @@ -16,8 +16,8 @@ your laptop. Luckily there aren't that many differences. Import necessary libraries -------------------------- -In addition we need to import the relevant Dask classes that will let us -set-up our cluster. Here we assume a SLURM cluster, however, other +In addition, we need to import the relevant Dask classes that will let us +set up our cluster. Here we assume a SLURM cluster, however, other options (PBS and so on) are possible. Please refer to Dask JobQueue `documentation `_. :: @@ -28,7 +28,7 @@ Create a new Campaign --------------------- As in the :doc:`Basic Tutorial `, we start by creating the -campaign, the only difference is that we instantiate the CampaignDask class +the campaign, the only difference is that we instantiate the CampaignDask class instead of Campaign :: my_campaign = uq.CampaignDask(name='coffee_pce') @@ -39,13 +39,13 @@ Initialize Cluster Provided that you have access to a computing cluster you can now run your UQ workflow on it. You will need to know some technical details about the compute nodes of your cluster. Most importantly you need to -know how many CPU cores does this node have and how much RAM. This -information is used to figure out the amount of resources we will +know how many CPU cores this node has and how much RAM. This +information is used to figure out the number of resources we will need, namely, how many nodes to reserve. Here we describe a single node of an example cluster. Please note that you don't need to specify the resources you need for your run as -such. Only the resources available on a single node. Unless the +such. Only the resources are available on a single node. Unless the resources the job needs are fewer than the node provides. For example, if the node has 48 cores and 64 gigabytes of memory :: @@ -60,7 +60,7 @@ for example, we can use :: cluster.scale(96) -At this stage you can print the batch file that will be used to submit the +At this stage, you can print the batch file that will be used to submit the worker processes. :: print(cluster.job_script()) @@ -85,7 +85,7 @@ before. :: my_campaign.populate_runs_dir() my_campaign.apply_for_each_run_dir(uq.actions.ExecuteLocal("python3 cooling_model.py cooling_in.json"), client) -At this stage the computation will block until the requested resources are +At this stage, the computation will block until the requested resources are allocated and all the computations are completed. @@ -103,7 +103,7 @@ something like this: :: salloc --partition=interactivequeue The system will then try to allocate resources for you to run the -interactive job and this might take a couple of moments. After that an +interactive job and this might take a couple of moments. After that, an interactive mode prompt will appear. Commands that you execute there will be run on compute nodes. You would then execute the script normally, e.g. :: diff --git a/docs/source/old/fusion_tutorial.rst b/docs/source/old/fusion_tutorial.rst index 464c47a0c..9feef0380 100644 --- a/docs/source/old/fusion_tutorial.rst +++ b/docs/source/old/fusion_tutorial.rst @@ -80,7 +80,7 @@ and .. math:: mtanh(x, b_{slope}) = \frac{(1 + x \cdot b_{slope}) exp(x) - exp(-x)}{exp(x) + exp(-x)} -A typical density profile used in these simulation is shown below: +A typical density profile used in this simulation is shown below: .. figure:: ../images/ne.svg @@ -92,7 +92,7 @@ The source is given by where :math:`\alpha` is chosen so that :math:`\int\; S(\rho,t) dV = Qe_{tot}`, the total heating power. -In this example we will analyze this model using the polynomial chaos +In this example, we will analyze this model using the polynomial chaos expansion (PCE) UQ algorithm. The parameters that can be varied are: ================== ======= ======= ========= @@ -128,13 +128,13 @@ though we will restrict the variation to for this analysis. Below we provide a commented script that shows how the Campaign is built up and then employed. -We also provide an outline of how each element is setup. +We also provide an outline of how each element is set up. EasyVVUQ Script Overview ------------------------ -We illustrate the intended workflow using the following basic example -script, a python implementation of the reduced fusion workflow model. +We illustrate the intended workflow using the following basic example script, +a python implementation of the reduced fusion workflow model. The input files for this tutorial are @@ -162,7 +162,7 @@ To run the script execute the following command Import necessary libraries -------------------------- -For this example we import both easyvvuq and chaospy (for the +For this example, we import both easyvvuq and chaospy (for the distributions). EasyVVUQ will be referred to as 'uq' in the code. :: import easyvvuq as uq @@ -212,7 +212,7 @@ App Creation ------------ In this example the GenericEncoder and SimpleCSV, both included in the -core EasyVVUQ library, were used as the encoder/decoder pair for this +core EasyVVUQ library were used as the encoder/decoder pair for this application. :: encoder = uq.encoders.GenericEncoder( @@ -227,8 +227,8 @@ GenericEncoder performs simple text substitution into a supplied template, using a specified delimiter to identify where parameters should be placed. The template is shown below (\$ is used as the delimiter). The template substitution approach is likely to suit most -simple applications but in practice many large applications have more -complex requirements, for example the multiple input files or the +simple applications but in practice, many large applications have more +complex requirements, for example, the multiple input files or the creation of a directory hierarchy. In such cases, users may write their own encoders by extending the BaseEncoder class. :: @@ -289,7 +289,7 @@ Calling the campaign's draw\_samples() method will cause the specified number of samples to be added as runs to the campaign database, awaiting encoding and execution. If no arguments are passed to draw\_samples() then all samples will be drawn, unless the sampler is -not finite. In this case PCESampler is finite (produces a finite +not finite. In this case, PCESampler is finite (produces a finite number of samples) and we elect to draw all of them at once: :: my_campaign.draw_samples() @@ -334,8 +334,8 @@ The output of this is dependent on the type of analysis element. :: Typical results --------------- -The above workflow calculates the distribution of temeperatures as the -uncertain parameters are varied. A typical results is shown below. +The above workflow calculates the distribution of temperatures as the +uncertain parameters are varied. A typical result is shown below. .. figure:: ../images/Te.svg @@ -343,7 +343,7 @@ Here the mean temperature, the mean plus and minus one sigma, the 10 and 90 percentiles as well as the complete range are shown as a function of :math:`\rho`. -The sensitivity of the results to the varying paramaters can be found +The sensitivity of the results to the varying parameters can be found from the Sobol first .. figure:: ../images/sobols_first.svg @@ -383,7 +383,7 @@ in easyvvuq_fusion_dask_tutorial.py and are basically: - or using SLURM, here configured to use - p.tok.openmp.2h QOS - - send a mail at completion of the SLURM job(s) + - send a mail at the completion of the SLURM job(s) - use the p.tok.openmp partition ("queue") - 8 cores per job - 8 processes per job @@ -446,7 +446,7 @@ References .. [MTANH] |_| See - E. Stefanikova, M. Peterka, P. Bohm, P. Bilkova, M. Aftanas, M. Sos, J. Urban, M. Hron and R. Panek: - Fitting of the Thomson scatteringdensity and temperature profiles on the COMPASS tokamak. + Fitting of the Thomson scattering density and temperature profiles on the COMPASS tokamak. Presented at 21st Topical Conference on High-Temperature Plasma Diagnostics (HTPD 2016) in Madison, Wisconsin, USA and published in Review of Scientific Instruments 87, 11E536 (2016); https://doi.org/10.1063/1.4961554. diff --git a/docs/source/old/hier_sparse_grid_tutorial.rst b/docs/source/old/hier_sparse_grid_tutorial.rst index e30654c5a..e3693e902 100644 --- a/docs/source/old/hier_sparse_grid_tutorial.rst +++ b/docs/source/old/hier_sparse_grid_tutorial.rst @@ -9,7 +9,7 @@ blocks of an EasyVVUQ Campaign. If not, see the basic tutorial `here `_. The complete code for this example can be found `here `__. This file -demonstates the sparse grid using a analytic test function, for which we compute +demonstrates the sparse grid using an analytic test function, for which we compute exact reference statistics. Sparse grids @@ -25,15 +25,15 @@ Here the specified :code:`polynomial_order`, and the number of inputs in :code:` number of samples, which increases exponentially fast with an increasing amount of inputs. This is the so-called *curse of dimensionality*. Sparse grids do **not** circumvent the curse of dimensionality, although they can postpone its effect to higher dimensions. In the case of a standard -EasyVVUQ Canpaign, by setting :code:`polynomial_order=3` we create a sampling plan through a +EasyVVUQ Campaign, by setting :code:`polynomial_order=3` we create a sampling plan through a single tensor product of one-dimensional quadrature rules with order 3 for every input. It is this tensor product construction that leads to the exponential rise in cost. Sparse grids on the other hand, do not -create a single tensor product, but build the sampling plan from the ground up by using a linear combination +create a single tensor product but build the sampling plan from the ground up by using a linear combination of tensor products involving 1D quadrature rules of different orders. For two inputs, we might for instance consider using 1D quadrature rules of order [1, 1], [1, 2] and [2, 1], whereas a standard EasyVVUQ campaign with :code:`polynomial_order=2` uses just [2,2]. If the chosen quadrature rule generates 1 point for order 1 and 3 points for order 2, then [2, 2] (the 2nd order rule for both dimensions) will generate 3*3 = 9 points. -For the sparse grid we have a linear combination of: +For the sparse grid, we have a linear combination of: * [1, 1]: a single point in the 2D domain (X, Y) * [1, 2]: a line of 3 points with constant X @@ -41,7 +41,7 @@ For the sparse grid we have a linear combination of: In the case of sparse grids it is common to select a *nested* quadrature rule. This means that the quadrature rule of order p contains all points of the same rule of order p-1. When taking the linear combinations, a nested rule ensures that many points will conincide, which yields efficient sampling -plans, especially in higher dimensions. If our 1D rule of order 1 and 2 generates the points [0.5] and [0, 0.5, 1] +plans, especially in higher dimensions. If our 1D rule of order 1 and 2 generate the points [0.5] and [0, 0.5, 1] we obtain a sampling plan consisting of * [1, 1]: [0.5, 0.5] diff --git a/docs/source/old/relocate.rst b/docs/source/old/relocate.rst index 28910325a..1fe078cb9 100644 --- a/docs/source/old/relocate.rst +++ b/docs/source/old/relocate.rst @@ -13,7 +13,7 @@ No More Collaters You don't need to explicitly create a collater anymore. The code that imports collaters will fail with an import error. The rest did not change. You still need to call ``campaign.collate()`` -in order to collect all the simulation data from the decoders. You also don't need to and can't +to collect all the simulation data from the decoders. You also don't need to and can't specify a collater when adding an app to a campaign. So, for example :: my_campaign.add_app(name="gauss", params=params, @@ -99,18 +99,18 @@ use the following validator :: decoderspec=validator) Each time the decoder output is read it will be checked using this specification. This can be used for -debugging and validation purposes. For more information for how to write the validator please consult +debugging and validation purposes. For more information on how to write the validator please consult the Cerberus project website. Analysis Classes Return an AnalysisResults Instance --------------------------------------------------- -In an effort to provide a consistent interface to the user, all classes must return the results in the same +To provide a consistent interface to the user, all classes must return the results in the same way. The idea is that the users would not need to modify their code if they want to swap the analysis method for another one. Of course, this is to some extent not possible because different analysis methods have different capabilities in terms of what information they can provide. But we must strive for a consistent interface as much as possible. So from now on when you call ``campaign.get_last_analysis()`` or when you use the ``analyse()`` -method of an analysis class explicitly it will return an instance of ``AnalysisResults``. In order to get sobol +method of an analysis class explicitly it will return an instance of ``AnalysisResults``. To get sobol indices from this object see the example: :: >>> results = campaign.get_last_analysis() @@ -124,8 +124,8 @@ indices from this object see the example: :: If ``f`` is one your qois and ``x1`` and ``x2`` are your input variables you can get the first order sobol indices for all qois and all inputs by calling ``results.sobols_first()``, you can get sobol indices for ``f`` by calling ``results.sobols_first(f)`` and you can get the index for one of the quantities by calling ``results.sobols_first(f, x2)``. -Also implemented in some of the classes are ``results.sobols_second()`` and ``results.sobols_total()`` which work in a similar way. +Also implemented in some of the classes are ``results.sobols_second()`` and ``results.sobols_total()`` which work similarly. Where make sense the classes will also provide a ``surrogate()`` method which will return an object that will act as a surrogate for your simulation. -You can get descriptive statistcs by calling ``results.describe()``. +You can get descriptive statistics by calling ``results.describe()``. diff --git a/docs/source/old/validate_similarities.rst b/docs/source/old/validate_similarities.rst index bd0f94ea2..48daef098 100644 --- a/docs/source/old/validate_similarities.rst +++ b/docs/source/old/validate_similarities.rst @@ -13,13 +13,13 @@ The first function is a parabolic function:: sig1 = 0.2 dist1 = chaospy.Normal(mu1, sig1) -The second function a constant but with changing uncertainty on one side:: +The second function, a constant but with changing uncertainty on one side:: mu2 = 2.5 sig2 = 0.1 + 0.01 * y dist2 = chaospy.Normal(mu2, sig2) -In the upper pannel of the figure given below, you see how these functions look when we are varing :code:`y` in the intervalle :code:`[0, 100]`. +In the upper panel of the figure given below, you see how these functions look when we are varing :code:`y` in the intervalle :code:`[0, 100]`. Validations metrics ------------------- @@ -30,7 +30,7 @@ Hellinger, Jensen-Shannon and Wasserstein (cf. references below for more details QoI distributions ----------------- -We can use Chaospy to compute the probability densities and the cummulative distributions functions needed for the above-mentioned metrics:: +We can use Chaospy to compute the probability densities and the cumulative distributions functions needed for the above-mentioned metrics:: # Probabily densities: for Hellinger and Jensen-Shannon p1 = dist1.pdf(x) @@ -41,24 +41,24 @@ We can use Chaospy to compute the probability densities and the cummulative dist c1 = dx * dist1.cdf(x) c2 = dx * dist2.cdf(x) -The sampling values :code:`x` can be computed using the min/max values of a common large support of QoI distrubtions, for example:: +The sampling values :code:`x` can be computed using the min/max values of common large support of QoI distributions, for example:: x = np.linspace(min_value, max_value, 1000, endpoint=True) -**Note 1**: The min/max values can be obtained from lower and upper bound of the distributions. In case of univarainte distribution, we can use: :code:`dist.lower[0]` and :code:`dist.upper[0]`. +**Note 1**: The min/max values can be obtained from lower and upper bound of the distributions. In the case of univariate distribution, we can use: :code:`dist.lower[0]` and :code:`dist.upper[0]`. **Note 2: Distribution based on samples** -To build QoI distribution from list of samples that resutls fron UQ simulations, observations or measurements, we can use:: +To build QoI distribution from list of samples that result from UQ simulations, observations or measurements, we can use:: dist = chaospy.SampleDist(samples) -It estimates a distribution from the given samples by constructing a kernel density estimator (KDE). +It estimates a distribution from the given samples by constructing a kernel density estimator (KDE). Validate similarities ---------------------- -Once probabily densities functions (or Cummulative distributions) are comupted for each QoI, we create a :code:`validater`, object of EasyVVUQ, and get the distance using :code:`compare` routine. We can use for example Hellinger metric by comparing two lists of probabily densities, :code:`pdf1` and :code:`pdf2`:: +Once probability density functions (or Cumulative distributions) are computed for each QoI, we create a :code:`validater`, object of EasyVVUQ, and get the distance using :code:`compare` routine. We can use for example Hellinger metric by comparing two lists of probabily densities, :code:`pdf1` and :code:`pdf2`:: # Validater based on Hellinger metric validater = easyvvuq.comparison.ValidateSimilarityHellinger() @@ -66,7 +66,7 @@ Once probabily densities functions (or Cummulative distributions) are comupted f The complete code for this example, using other metrics, can be found `here `_. -Finally, in the lower panel of the the different distances between QoI 1 and Qo 2 are displayed: +Finally, in the lower panel of the different distances between QoI 1 and Qo 2 are displayed: .. figure:: ../images/validation.png diff --git a/docs/source/old/workflow_changes.rst b/docs/source/old/workflow_changes.rst index 28910325a..b71b5fedc 100644 --- a/docs/source/old/workflow_changes.rst +++ b/docs/source/old/workflow_changes.rst @@ -13,7 +13,7 @@ No More Collaters You don't need to explicitly create a collater anymore. The code that imports collaters will fail with an import error. The rest did not change. You still need to call ``campaign.collate()`` -in order to collect all the simulation data from the decoders. You also don't need to and can't +to collect all the simulation data from the decoders. You also don't need to and can't specify a collater when adding an app to a campaign. So, for example :: my_campaign.add_app(name="gauss", params=params, @@ -66,11 +66,11 @@ Here is a valid example of such a DataFrame. :: 24 24 0.953090 0.953090 0.953090 0.953090 1.906180 It has two input variables ``x1`` and ``x2`` and one vector valued qoi (quantity of interest) -`g` with three elements. Any scalar is treated as a vector with one element. This is mainly of interest for people -developing analysis classes but probably useful to know to users too. If you want to access -the columns of the qoi you can do so (assuming ``df`` is collation result) ``df[g]`` would +`g` with three elements. Any scalar is treated as a vector with one element. This is mainly of interest to people +developing analysis classes but is probably useful to know to users too. If you want to access +the columns of the qoi you can do so (assuming ``df`` is the collation result) ``df[g]`` would return a data frame with the three columns that make up ``g``. You can also call ``df[g, 1]`` to -get a particular element. In which case it will return a corresponding column (second one in this +get a particular element. In this case, it will return a corresponding column (second one in this case). Decoders Must Return Dictionaries @@ -84,8 +84,8 @@ An example of a valid dictionary that could be returned by a decoder could be :: {'y1': 3.14, 'y2': [1, 2]} You can also enforce checking the output of your decoders using `Cerberus `_. -To this end you need to create a validation dictionary in the Cerberus format. You then need to specify this when -calling ``add_app`` on a campaign. For example, if the ouput of the decoder is the dictionary above, you can +To this end, you need to create a validation dictionary in the Cerberus format. You then need to specify this when +calling ``add_app`` on a campaign. For example, if the output of the decoder is the dictionary above, you can use the following validator :: validator = { @@ -99,13 +99,13 @@ use the following validator :: decoderspec=validator) Each time the decoder output is read it will be checked using this specification. This can be used for -debugging and validation purposes. For more information for how to write the validator please consult +debugging and validation purposes. For more information on how to write the validator please consult the Cerberus project website. Analysis Classes Return an AnalysisResults Instance --------------------------------------------------- -In an effort to provide a consistent interface to the user, all classes must return the results in the same +To provide a consistent interface to the user, all classes must return the results in the same way. The idea is that the users would not need to modify their code if they want to swap the analysis method for another one. Of course, this is to some extent not possible because different analysis methods have different capabilities in terms of what information they can provide. But we must strive for a consistent interface @@ -121,11 +121,11 @@ indices from this object see the example: :: >>> results.sobols_first('f', 'x1') array([0.610242]) -If ``f`` is one your qois and ``x1`` and ``x2`` are your input variables you can get the first order sobol indices for +If ``f`` is one of your qois and ``x1`` and ``x2`` are your input variables you can get the first order sobol indices for all qois and all inputs by calling ``results.sobols_first()``, you can get sobol indices for ``f`` by calling ``results.sobols_first(f)`` and you can get the index for one of the quantities by calling ``results.sobols_first(f, x2)``. -Also implemented in some of the classes are ``results.sobols_second()`` and ``results.sobols_total()`` which work in a similar way. +Also implemented in some of the classes are ``results.sobols_second()`` and ``results.sobols_total()`` which work similarly. Where make sense the classes will also provide a ``surrogate()`` method which will return an object that will act as a surrogate for your simulation. -You can get descriptive statistcs by calling ``results.describe()``. +You can get descriptive statistics by calling ``results.describe()``. From 2238882bcc6ec9c2204391d09c835bc6aec5ac32 Mon Sep 17 00:00:00 2001 From: Maziar Ghorbani Date: Tue, 28 Mar 2023 11:39:35 +0100 Subject: [PATCH 3/3] Update docs/source/old/basic_tutorial.rst Incorporating Derek's suggestion Co-authored-by: Derek Groen --- docs/source/old/basic_tutorial.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/old/basic_tutorial.rst b/docs/source/old/basic_tutorial.rst index 16e189ba2..4ff21c1fc 100644 --- a/docs/source/old/basic_tutorial.rst +++ b/docs/source/old/basic_tutorial.rst @@ -88,7 +88,7 @@ If this works you should see 15 lines that look something like: where `` is the directory in which you ran the script and `EasyVVUQ_Campaign_zxe7_cb2` is an example of the unique directory that -EasyVVUQ was created to hold all of the files created relating to a campaign. +EasyVVUQ has created to hold all of the files created relating to a campaign. Followed by a results table that looks like: